Owheo Building, Room 245
Tel +64 3 479 8501
Email steven.mills@otago.ac.nz
I received my BSc (Hons) and PhD in Computer Science from the University of Otago, and completed my studies 2000. After working for a short time in Christchurch as a software developer I took up a lectureship at The University of Nottingham. In 2006 I returned to New Zealand and worked in commercial research and development at the Geospatial Research Centre and then Areograph Ltd before returning to the Computer Science Department as a lecturer in 2011.
My research interests are in computer vision, and particularly in the reconstruction of 3D scenes from multiple views. While there are a number of outstanding issues, recent advances mean that a wide range of scenes can be reconstructed from images alone. Applications of this technology include terrain modelling from aerial imagery, construction of architectural models, and generation of realistic environments for games and entertainment. I am also interested in related fields such as motion analysis, stereo vision, and image based rendering, as well as applications of computer vision and image processing to the analysis of scientific imagery.
For more information, please see my research pages
Publications
Mills, S., Das, N., O'Regan, G., Arun, L., Chakraborty, T., & Walter, R. (2024). A framework for integrating domain knowledge and deep learning for 3D shape analysis of lithic fragments. Proceedings of the 51st Computer Applications and Quantitative Methods in Archaeology (CAA) International Conference. 172, (pp. 108-109). Retrieved from https://2024.caaconference.org/ Conference Contribution - Published proceedings: Abstract
Liu, J., McCane, B., & Mills, S. (2024). Learning to explore by reinforcement over high-level options. Machine Vision & Applications, 35, 6. doi: 10.1007/s00138-023-01492-1 Journal - Research Article
Baker, L., Ventura, J., Langlotz, T., Gul, S., Mills, S., & Zollmann, S. (2024). Localization and tracking of stationary users for augmented reality. Visual Computer, 40, 227-244. doi: 10.1007/s00371-023-02777-2 Journal - Research Article
Mills, S. (2023). Relative feature orientation filtering in COLMAP structure from motion. In D. Bailey, A. Punchihewa & A. Paturkar (Eds.), Proceedings of the 38th International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/IVCNZ61134.2023.10344197 Conference Contribution - Published proceedings: Full paper
Gul, S., Lo, W. H., Mills, S., & Zollmann, S. (2023). Benchmarking localization for augmented reality in large scale environments. In D. Bailey, A. Punchihewa & A. Paturkar (Eds.), Proceedings of the 38th International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/IVCNZ61134.2023.10344159 Conference Contribution - Published proceedings: Full paper
2024
Journal - Research Article
Liu, J., McCane, B., & Mills, S. (2024). Learning to explore by reinforcement over high-level options. Machine Vision & Applications, 35, 6. doi: 10.1007/s00138-023-01492-1
Baker, L., Ventura, J., Langlotz, T., Gul, S., Mills, S., & Zollmann, S. (2024). Localization and tracking of stationary users for augmented reality. Visual Computer, 40, 227-244. doi: 10.1007/s00371-023-02777-2
Conference Contribution - Published proceedings: Abstract
Mills, S., Das, N., O'Regan, G., Arun, L., Chakraborty, T., & Walter, R. (2024). A framework for integrating domain knowledge and deep learning for 3D shape analysis of lithic fragments. Proceedings of the 51st Computer Applications and Quantitative Methods in Archaeology (CAA) International Conference. 172, (pp. 108-109). Retrieved from https://2024.caaconference.org/
2023
Chapter in Book - Research
Venn, L., & Mills, S. (2023). A VR tool for labelling 3D data sets. In W. Q. Yan, M. Nguyen & M. Stommel (Eds.), Image and vision computing: 37th International Conference IVCNZ 2022 revised selected papers: Lecture notes in computer science (Vol. 13836). (pp. 262-271). Cham, Switzerland: Springer. doi: 10.1007/978-3-031-25825-1_19
Journal - Research Other
Mills, S., & Regenbrecht, H. (2023). Respecting and protecting cultural values in an Indigenous virtual reality project. IEEE Technology & Society, 42(2), 48-52. doi: 10.1109/MTS.2023.3275628
Conference Contribution - Published proceedings: Full paper
Mills, S. (2023). Relative feature orientation filtering in COLMAP structure from motion. In D. Bailey, A. Punchihewa & A. Paturkar (Eds.), Proceedings of the 38th International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/IVCNZ61134.2023.10344197
Gul, S., Lo, W. H., Mills, S., & Zollmann, S. (2023). Benchmarking localization for augmented reality in large scale environments. In D. Bailey, A. Punchihewa & A. Paturkar (Eds.), Proceedings of the 38th International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/IVCNZ61134.2023.10344159
2022
Chapter in Book - Research
Zollmann, S., Langlotz, T., Regenbrecht, H., Button, C., Lo, W. H., & Mills, S. (2022). Augmented reality for sports spectating and coaching. In V. Tzankova & M. Filimowicz (Eds.), Interactive sports technologies: Performance, participation, safety. (pp. 96-111). New York, NY: Routledge. doi: 10.4324/9781003205111-7
Journal - Research Article
Regenbrecht, H., Park, N., Duncan, S., Mills, S., Lutz, R., Lloyd-Jones, L., Ott, C., … Whaanga, H. (2022). Ātea presence: Enabling virtual storytelling, presence, and tele-co-presence in an Indigenous setting. IEEE Technology & Society, 41(1), 32-42. doi: 10.1109/MTS.2022.3147525
Liu, J., Mills, S., & McCane, B. (2022). RocNet: Recursive octree network for efficient 3D processing. Computer Vision & Image Understanding, 224, 103555. doi: 10.1016/j.cviu.2022.103555
Conference Contribution - Published proceedings: Full paper
Park, N., Regenbrecht, H., Duncan, S., Mills, S., Lindeman, R. W., Pantidi, N., & Whaanga, H. (2022). Mixed reality co-design for indigenous culture preservation & continuation. Proceedings of the IEEE Conference on Virtual Reality & 3D User Interfaces. (pp. 149-157). Piscataway, NJ: IEEE. doi: 10.1109/VR51125.2022.00006
2021
Journal - Research Article
Yan, X., Mills, S., & Knott, A. (2021). A neural network model for learning 3D object representations through haptic exploration. Frontiers in Neurorobotics, 15, 639001. doi: 10.3389/fnbot.2021.639001
Conference Contribution - Published proceedings: Full paper
Mills, S. (2021). Pointing-based calibration of a pointing interface for public displays. Proceedings of the 36th International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/IVCNZ54163.2021.9653203
Mills, S. (2021). Relative camera rotation from a single oriented correspondence. Proceedings of the 36th International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/IVCNZ54163.2021.9653298
Clarke, J., & Mills, S. (2021). Sensor evaluation for voxel-based RGB-D SLAM. Proceedings of the 36th International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/IVCNZ54163.2021.9653223
Gul, S., Baker, L., Boult, R., Mills, S., & Zollmann, S. (2021). Expert sample consensus applied to camera localization for AR sports spectators. Proceedings of the 36th International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/IVCNZ54163.2021.9653307
Zareei, S., Kelbe, D., Sirguey, P., Mills, S., & Eyers, D. M. (2021). Virtual ground control for survey-grade terrain modelling from satellite imagery. Proceedings of the 36th International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/IVCNZ54163.2021.9653389
Ott, C., John, S., Zwanenburg, S., Stanger, N., & Mills, S. (2021). Is this degree for me? Exploring computing students' study decisions. Proceedings of the 23rd Australasian Computing Education Conference (ACE). (pp. 96-105). New York, NY: ACM. doi: 10.1145/3441636.3442310
2020
Journal - Research Article
Cappuccio, F., Toy, V. G., Mills, S., & Adam, L. (2020). Three-dimensional separation and characterization of fractures in x-ray computed tomographic images of rocks. Frontiers in Earth Science, 8, 529263. doi: 10.3389/feart.2020.529263
Chakraborti, T., McCane, B., Mills, S., & Pal, U. (2020). Distance Metric Learned Collaborative Representation Classifier (DML-CRC). IEEE Letters of the Computer Society, 3(2), 34-37. doi: 10.1109/LOCS.2020.2997647
Moore, A., Daniel, B., Leonard, G., Regenbrecht, H., Rodda, J., Baker, L., Ryan, R., & Mills, S. (2020). Comparative usability of an augmented reality sandtable and 3D GIS for education. International Journal of Geographical Information Science, 34(2), 229-250. doi: 10.1080/13658816.2019.1656810
Conference Contribution - Published proceedings: Full paper
Cahill-Lane, J., Mills, S., & Duncan, S. (2020). Body part labelling with Minkowski networks. Proceedings of the 2019 International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/IVCNZ48456.2019.8961026
Baker, L., Ventura, J., Zollmann, S., Mills, S., & Langlotz, T. (2020). SPLAT: Spherical Localization and Tracking in Large Spaces. Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces. (pp. 809-817). IEEE. doi: 10.1109/VR46266.2020.00105
Liu, J., Mills, S., & McCane, B. (2020). RocNet: Recursive octree network for efficient 3D deep representation. Proceedings of the International Conference on 3D Vision (3DV). 1, (pp. 414-422). doi: 10.1109/3DV50981.2020.00051
Chakraborti, T., McCane, B., Mills, S., & Pal, U. (2020). CoCoNet: A collaborative convolutional network applied to fine-grained bird species classification. Proceedings of the 35th International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/IVCNZ51579.2020.9290677
Chakraborti, T., McCane, B., Mills, S., & Pal, U. (2020). PProCRC: Probabilistic collaboration of image patches for fine-grained classification. Proceedings of the 35th International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/IVCNZ51579.2020.9290537
van Sint Annaland, Y., Szymanski, L., & Mills, S. (2020). Predicting cherry quality using siamese networks. Proceedings of the 35th International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/IVCNZ51579.2020.9290674
Liu, J., Mills, S., & McCane, B. (2020). Variational autoencoder for 3D voxel compression. Proceedings of the 35th International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/IVCNZ51579.2020.9290656
Petrie, F., & Mills, S. (2020). Real time ray tracing of analytic and implicit surfaces. Proceedings of the 35th International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/IVCNZ51579.2020.9290653
Baker, L., Mills, S., Zollmann, S., & Ventura, J. (2020). CasualStereo: Casual capture of stereo panoramas with spherical structure-from-motion. Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces. (pp. 782-790). IEEE. doi: 10.1109/VR46266.2020.1581313146787
Petrie, F., Mills, S., Bennani, H., Walter, R., & Greig, K. (2020). Stitching partial 3D models with an application to modelling stone flakes. Proceedings of the 2019 International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/IVCNZ48456.2019.8961032
Park, J.-W., Mills, S., Whaanga, H., Mato, P., Lindeman, R. W., & Regenbrecht, H. (2020). Towards a Māori telepresence system. Proceedings of the 2019 International Conference on Image and Vision Computing New Zealand (IVCNZ). doi: 10.1109/IVCNZ48456.2019.8961016
Bennani, H., & Mills, S. (2020). A light in dark places: 3D reconstruction from stereo views with a moving light source. Proceedings of the 2019 International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/IVCNZ48456.2019.8961003
Working Paper; Discussion Paper; Technical Report
Liu, J., Mills, S., & McCane, B. (2020). RocNet: Recursive octree network for efficient 3D deep representation. arXiv. Retrieved from https://arxiv.org/abs/2008.03875
2019
Journal - Research Article
Regenbrecht, H., Park, J.-W., Ott, C., Mills, S., Cook, M., & Langlotz, T. (2019). Preaching voxels: An alternative approach to mixed reality. Frontiers in ICT, 6, 7. doi: 10.3389/fict.2019.00007
Young, J., Langlotz, T., Cook, M., Mills, S., & Regenbrecht, H. (2019). Immersive telepresence and remote collaboration using mobile and wearable devices. IEEE Transactions on Visualization & Computer Graphics, 25(5), 1908-1918. doi: 10.1109/TVCG.2019.2898737
Conference Contribution - Published proceedings: Full paper
Clark-Younger, H., Mills, S., & Szymanski, L. (2019). Stacked hourglass CNN for handwritten character location. Proceedings of the 2018 International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/IVCNZ.2018.8634694
Baker, L., Zollmann, S., Mills, S., & Langlotz, T. (2019). SoftPOSIT for augmented reality in complex environments: Limitations and challenges. Proceedings of the 2018 International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/IVCNZ.2018.8634761
Chakraborti, T., McCane, B., Mills, S., & Pal, U. (2019). Fine-grained collaborative K-means clustering. Proceedings of the 2018 International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/IVCNZ.2018.8634796
Working Paper; Discussion Paper; Technical Report
Chakraborti, T., McCane, B., Mills, S., & Pal, U. (2019). PProCRC: Probabilistic collaboration of image patches. arXiv. Retrieved from https://arxiv.org/abs/1903.09123
Chakraborti, T., McCane, B., Mills, S., & Pal, U. (2019). Distance metric learned collaborative representation classifier. arXiv. Retrieved from https://arxiv.org/abs/1905.01168
Chakraborti, T., McCane, B., Mills, S., & Pal, U. (2019). CoCoNet: A Collaborative Convolutional Network. arXiv. Retrieved from https://arxiv.org/abs/1901.09886
Other Research Output
Mills, S. (2019, July). Computer vision for culture and heritage. Mathematics Seminar Series, Department of Mathematics & Statistics, University of Otago, Dunedin, New Zealand. [Department Seminar].
2018
Journal - Research Article
Shen, X.-l., Dou, Y., Mills, S., Eyers, D. M., Feng, H., & Huang, Z. (2018). Distributed sparse bundle adjustment algorithm based on three-dimensional point partition and asynchronous communication. Frontiers of Information Technology & Electronic Engineering, 19(7), 889-904. doi: 10.1631/FITEE.1800173
Williams, J. N., Toy, V. G., Massiot, C., McNamara, D. D., Smith, S. A. F., & Mills, S. (2018). Controls on fault zone structure and brittle fracturing in the foliated hanging wall of the Alpine Fault. Solid Earth, 9, 469-489. doi: 10.5194/se-9-469-2018
Chakraborti, T., McCane, B., Mills, S., & Pal, U. (2018). LOOP Descriptor: Local Optimal Oriented Pattern. IEEE Signal Processing Letters, 25(5), 635-639. doi: 10.1109/LSP.2018.2817176
Feng, H., Eyers, D., Mills, S., Wu, Y., & Huang, Z. (2018). Principal component analysis based filtering for scalable, high precision k-NN search. IEEE Transactions on Computers, 67(2), 252-267. doi: 10.1109/TC.2017.2748131
Conference Contribution - Published proceedings: Full paper
Yan, X., Knott, A., & Mills, S. (2018). A model for learning representations of 3D objects through tactile exploration: Effects of object asymmetries and landmarks. In T. Mitrovic, B. Xue & X. Li (Eds.), Advances in artifical intelligence: Lecture notes in artificial intelligence (Vol. 11320). (pp. 271-283). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-03991-2_27
Mills, S. (2018). Four- and seven-point relative camera pose from oriented features. Proceedings of the International Conference on 3D Vision (3DV). (pp. 218-227). IEEE. doi: 10.1109/3DV.2018.00034
Bennani, H., Mills, S., Walter, R., & Greig, K. (2018). Photogrammetric debitage analysis: Measuring Māori toolmaking evidence. Proceedings of the 2017 International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/IVCNZ.2017.8402463
Cahill-Lane, J., & Mills, S. (2018). Of mice, men, and machines: Real and artificial deep networks for vision. Proceedings of the 2017 International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/IVCNZ.2017.8402453
Szymanski, L., & Mills, S. (2018). CNN for historic handwritten document search. Proceedings of the 2017 International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/IVCNZ.2017.8402461
Mesbah, R., McCane, B., & Mills, S. (2018). Conditional random fields incorporate convolutional neural networks for human eye sclera semantic segmentation. Proceedings of the IEEE International Joint Conference on Biometrics (IJCB). (pp. 768-773). IEEE. doi: 10.1109/BTAS.2017.8272768
Conference Contribution - Published proceedings: Abstract
Leonard, G., Moore, A., Rodda, J., Daniel, B., Jopson, F. W., Regenbrecht, H., Baker, L., & Mills, S. (2018). A sand-based tangible interface for land development teaching [Extended abstract]. In A. Moore & I. Drecki (Eds.), Proceedings of the Joint 9th National Cartographic Conference (GeoCart'2018) and 46th Australian and New Zealand Map Society (ANZMapS) Conference. (pp. 140-142). Auckland, New Zealand: CartoPRESS. [Abstract]
Cappuccio, F., Toy, V., Mills, S., Gessner, K., & Wawryk, M. (2018). Examination of the relationships between fractures and mineralogical variation in DFDP cores from CT and HyLogger datasets. In M. Sagar & J. Prebble (Eds.), Geoscience Society of New Zealand Miscellaneous Publication. 151A, (pp. 40). Wellington, New Zealand: GSNZ. [Abstract]
2017
Journal - Research Article
Botterill, T., Paulin, S., Green, R., Williams, S., Lin, J., Saxton, V., Mills, S., … Corbett-Davies, S. (2017). A robot system for pruning grape vines. Journal of Field Robotics, 34(6), 1100-1122. doi: 10.1002/rob.21680
Conference Contribution - Published proceedings: Full paper
Chakraborti, T., McCane, B., Mills, S., & Pal, U. (2017). A generalised formulation for collaborative representation of image patches (GP-CRC). In T. K. Kim, S. Zafeiriou, G. Brostow & K. Mikolajczyk (Eds.), Proceedings of the British Machine Vision Conference. (pp. 1-11). BMVA Press. doi: 10.5244/C.31.65
Chakraborty, T., McCane, B., Mills, S., & Pal, U. (2017). Collaborative representation based fine-grained species recognition. In D. Bailey, G. Sen Gupta & S. Marsland (Eds.), Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ). (pp. 42-47). IEEE. doi: 10.1109/ivcnz.2016.7804421
Baker, L., Mills, S., Langlotz, T., & Rathbone, C. (2017). Power line detection using Hough transform and line tracing techniques. Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/ivcnz.2016.7804438
Mills, S., Green, D., Longnecker, N., Brundell, J., Rodger, C. J., & Brook, P. (2017). Embodied earth: Experiencing natural phenomena. Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/ivcnz.2016.7804425
Mesbah, R., McCane, B., & Mills, S. (2017). Deep convolutional encoder-decoder for myelin and axon segmentation. Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/ivcnz.2016.7804455
Conference Contribution - Poster Presentation (not in published proceedings)
Mesbah, R., McCane, B., Mills, S., & Robins, A. (2017, November). Improving spatial context in CNNs for semantic medical image segmentation. Poster session presented at the 4th Asian Conference on Pattern Recognition, Nanjing, China.
Conference Contribution - Verbal presentation and other Conference outputs
Mills, S., Bennani, H., Walter, R., & Greig, K. (2017, December). Photogrammetric debitage analysis: Measuring Māori toolmaking evidence. Keynote presentation at the International Conference on Image and Vision Computing New Zealand (IVCNZ), Christchurch, New Zealand.
Working Paper; Discussion Paper; Technical Report
Chakraborti, T., McCane, B., Mills, S., & Pal, U. (2017). LOOP descriptor: Local optimal oriented pattern. arXiv. Retrieved from https://arxiv.org/abs/1710.09317
2016
Chapter in Book - Research
Botterill, T., Signal, M., Mills, S., & Green, R. (2016). Design and calibration of multi-camera systems for 3D computer vision: Lessons learnt from two case studies. In F. Huang & A. Sugimoto (Eds.), Image and video technology: 7th Pacific Rim Symposium on Video and Image Technology (PSIVT) 2015 Workshops, revised selected papers: Lecture notes in computer science (Vol. 9555). (pp. 206-219). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-30285-0_17
Conference Contribution - Published proceedings: Full paper
Feng, H., Eyers, D., Mills, S., Wu, Y., & Huang, Z. (2016). PCAF: Scalable, high precision k-NN search using principal component analysis based filtering. Proceedings of the 45th International Conference on Parallel Processing (ICPP). (pp. 638-647). IEEE. doi: 10.1109/icpp.2016.79
Conference Contribution - Published proceedings: Abstract
Moore, A., Daniel, B., Leonard, G., Regenbrecht, H., Rodda, J., Baker, L., Ryan, R., & Mills, S. (2016). Preliminary usability study of an augmented reality sand-based 3D terrain interface [Extended abstract]. Proceedings of the 8th National Cartographic Conference (GeoCart). Retrieved from http://geocart.cartography.org.nz/2016/
Mesbah, R., McCane, B., & Mills, S. (2016). Myelin and axon segmentation with convolutional neural networks. In M. Andersen & A. Deb (Eds.), Proceedings of the 9th Annual Dodd-Walls Symposium. (pp. 7). Retrieved from http://www.doddwalls.ac.nz/wawcs0138456/Symposium.html
Working Paper; Discussion Paper; Technical Report
Fu, X., McCane, B., Mills, S., Albert, M., & Szymanski, L. (2016). Auto-JacoBin: Auto-encoder Jacobian binary hashing. arXiv. 17p. Retrieved from https://arxiv.org/abs/1602.08127
2015
Chapter in Book - Research
Fu, X., McCane, B., Mills, S., & Albert, M. (2015). NOKMeans: Non-Orthogonal K-means hashing. In D. Cremers, I. Reid, H. Saito & M.-H. Yang (Eds.), Computer Vision: 12th Asian Conference on Computer Vision 2014, revised selected papers, part 1: Lecture notes in computer science (Vol. 9003). (pp. 162-177). Cham, Switzerland: Springer. doi: 10.1007/978-3-319-16865-4_11
Journal - Research Article
Green, D., Rodger, C. J., Brundell, J. B., Mills, S., & Brook, P. (2015). Scientific reification. Junctures, 16, 21-33.
Khan, N., McCane, B., & Mills, S. (2015). Better than SIFT? Machine Vision & Applications, 26(6), 819-836. doi: 10.1007/s00138-015-0689-7
Tang, X., Huang, Z., Eyers, D., Mills, S., & Guo, M. (2015). Scalable multicore k-NN search via Subspace Clustering for Filtering. IEEE Transactions on Parallel & Distributed Systems, 26(12), 3449-3460. doi: 10.1109/TPDS.2014.2372755
Johnson, R., Szymanski, L., & Mills, S. (2015). Hierarchical structure from motion optical flow algorithms to harvest three-dimensional features from two-dimensional neuro-endoscopic images. Journal of Clinical Neuroscience, 22(2), 378-382. doi: 10.1016/j.jocn.2014.08.004
Conference Contribution - Published proceedings: Full paper
Feng, H., Mills, S., Eyers, D., Huang, Z., & Shen, X. (2015). Optimal space subdivision for parallel approximate nearest neighbour determination. Proceedings of the Image and Vision Computing New Zealand (IVCNZ) International Conference. 45. IEEE. doi: 10.1109/IVCNZ.2015.7761548
Campbell, J., Mills, S., & Paulin, M. (2015). Mutual information of image intensity and gradient flux for markerless pose estimation. Proceedings of the International Conference on Image and Vision Computing New Zealand (IVCNZ). 71. IEEE. doi: 10.1109/IVCNZ.2015.7761559
Fu, X., McCane, B., Mills, S., & Albert, M. (2015). How to select hashing bits? A direct measurement approach. Proceedings of the International Conference on Image and Vision Computing New Zealand (IVCNZ). 20. IEEE. doi: 10.1109/IVCNZ.2015.7761538
Mikhisor, M., Wyvill, G., McCane, B., & Mills, S. (2015). Adapting generic trackers for tracking faces. Proceedings of the International Conference on Image and Vision Computing New Zealand (IVCNZ). 90. IEEE. doi: 10.1109/IVCNZ.2015.7761570
Mills, S. (2015). Accelerated relative camera pose from oriented features. Proceedings of the International Conference on 3D Vision (3DV). (pp. 416-424). IEEE. doi: 10.1109/3DV.2015.54
Tang, X., Huang, Z., Eyers, D., Mills, S., & Guo, M. (2015). Efficient selection algorithm for fast k-NN search on GPUs. Proceedings of the 29th International Parallel and Distributed Processing (IPDPS) Symposium. (pp. 397-406). IEEE. doi: 10.1109/IPDPS.2015.115
Julé, A., McCane, B., Knott, A., & Mills, S. (2015). Discriminative touch from pressure sensors. In D. Bailey, G. Sen Gupta & S. Demidenko (Eds.), Proceedings of the 6th International Conference on Automation, Robotics and Applications (ICARA). (pp. 279-282). IEEE. doi: 10.1109/icara.2015.7081160
2014
Conference Contribution - Published proceedings: Full paper
Johnson, R., Mills, S., & Szymanski, L. (2014). Optical flow algorithms to recover 3D information from 2D endoscopic images. Proceedings of the 6th World Congress for Endoscopic Surgery of the Brain and Spine and Second Global Update on FESS, the Sinuses and the Nose (Endomilano). (pp. 76-77). Turin, Italy: Edizioni Minerva Medica. [Full Paper]
Botterill, T., Green, R., & Mills, S. (2014). A decision-theoretic formulation for sparse stereo correspondence problems. Proceedings of the 2nd International Conference on 3D Vision (3DV). (pp. 224-231). IEEE. doi: 10.1109/3DV.2014.34
Botterill, T., Green, R., & Mills, S. (2014). Voxel carving for collision avoidance for a vine pruning robot arm. Proceedings of the 29th International Conference on Image and Vision Computing New Zealand (IVCNZ). (pp. 54-59). New York: ACM. doi: 10.1145/2683405.2683419
Campbell, J., Mills, S., & Paulin, M. (2014). Kinematic spider tracking with PoseCut. Proceedings of the 29th International Conference on Image and Vision Computing New Zealand (IVCNZ). (pp. 207-211). New York: ACM. doi: 10.1145/2683405.2683441
Mikhisor, M., Wyvill, G., McCane, B., & Mills, S. (2014). 3D face tracking in fisheye stereo video using particle filters. Proceedings of the 29th International Conference on Image and Vision Computing New Zealand (IVCNZ). (pp. 259-264). New York: ACM. doi: 10.1145/2683405.2683452
Mills, S., Ribeiro, D. C., Johnson, G., & Zulkifly, E. (2014). Principal component representations of chewing motion. Proceedings of the 29th International Conference on Image and Vision Computing New Zealand (IVCNZ). (pp. 218-223). New York: ACM. doi: 10.1145/2683405.2683434
Mills, S., Szymanski, L., & Johnson, R. (2014). Hierarchical structure from motion from endoscopic video. Proceedings of the 29th International Conference on Image and Vision Computing New Zealand (IVCNZ). (pp. 102-107). New York: ACM. doi: 10.1145/2683405.2683411
Young, C., Eyers, D., & Mills, S. (2014). Parallel and distributed mosaic seamline estimation. Proceedings of the 29th International Conference on Image and Vision Computing New Zealand (IVCNZ). (pp. 37-41). New York: ACM. doi: 10.1145/2683405.2683425
Khan, U. M., Mills, S., McCane, B., & Trotman, A. (2014). Emergent properties from feature co-occurrence in image collections. Proceedings of the 22nd International Conference on Pattern Recognition (ICPR). (pp. 2347-2352). IEEE. doi: 10.1109/ICPR.2014.407
Tang, X., Mills, S., Eyers, D., Leung, K.-C., Huang, Z., & Guo, M. (2014). Performance bottlenecks in manycore systems: A case study on large scale feature matching within image collections. Proceedings of the 15th International Conference on High Performance Computing and Communications (HPCC) &11th International Conference on Embedded and Ubiquitous Computing (EUC). (pp. 985-995). IEEE. doi: 10.1109/HPCC.and.EUC.2013.140
Tang, X., Mills, S., Eyers, D., Leung, K.-C., Huang, Z., & Guo, M. (2014). Data filtering for scalable high-dimensional k-NN search on multicore systems. Proceedings of the 23rd International Symposium on High-Performance Parallel and Distributed Computing (HPDC). (pp. 305-310). New York: ACM. doi: 10.1145/2600212.2600710
2013
Journal - Research Article
Botterill, T., Mills, S., & Green, R. (2013). Correcting scale drift by object recognition in single-camera SLAM. IEEE Transactions on Cybernetics, 43(6), 1767-1780. doi: 10.1109/tsmcb.2012.2230164
Mills, S., & McLeod, P. (2013). Global seamline networks for orthomosaic generation via local search. Journal of Photogrammetry & Remote Sensing, 75, 101-111. doi: 10.1016/j.isprsjprs.2012.11.003
Conference Contribution - Published proceedings: Full paper
Fu, X., Martin, S., Mills, S., & McCane, B. (2013). Improved spectral clustering using adaptive Mahalanobis distance. Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition (ACPR). (pp. 171-175). IEEE. doi: 10.1109/ACPR.2013.100
Botterill, T., Green, R., & Mills, S. (2013). Finding a vine's structure by bottom-up parsing of cane edges. In T. Rhee, R. Rayudu, C. Hollitt, J. Lewis & M. Zhang (Eds.), Proceedings of the 28th International Conference on Image and Vision Computing New Zealand (IVCNZ). (pp. 112-117). IEEE. doi: 10.1109/IVCNZ.2013.6727001
Botterill, T., Green, R., & Mills, S. (2013). Detecting structured light patterns in colour images using a Support Vector Machine. Proceedings of the International Conference on Image Processing (ICIP). (pp. 1202-1206). IEEE. doi: 10.1109/ICIP.2013.6738248
Tang, X., Mills, S., Eyers, D., Huang, Z., Leung, K.-C., & Guo, M. (2013). Performance tuning on multicore systems for feature matching within image collections. Proceedings of the 42nd International Conference on Parallel Processing (ICPP). (pp. 718-727). IEEE. doi: 10.1109/ICPP.2013.85
Mills, S., Eyers, D., Leung, K.-C., Tang, X., & Huang, Z. (2013). Large-scale feature matching with distributed and heterogeneous computing. Proceedings of the 28th International Conference of Image and Vision Computing New Zealand (IVCNZ). (pp. 208-213). IEEE. doi: 10.1109/IVCNZ.2013.6727017
Mikhisor, M., Wyvill, G., McCane, B., & Mills, S. (2013). The integral image method for fisheye images. Proceedings of the 28th International Conference of Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/IVCNZ.2013.6726983
Leung, K.-C., Eyers, D., Tang, X., Mills, S., & Huang, Z. (2013). Investigating large-scale feature matching using the Intel® Xeon Phi™ coprocessor. Proceedings of the 28th International Conference of Image and Vision Computing New Zealand (IVCNZ). (pp. 148-153). IEEE. doi: 10.1109/IVCNZ.2013.6727007
Khan, N., McCane, B., & Mills, S. (2013). 3D versus 2D based indoor image matching analysis on images from low cost mobile devices. Proceedings of the 28th International Conference of Image and Vision Computing New Zealand (IVCNZ). (pp. 253-258). IEEE. doi: 10.1109/IVCNZ.2013.6727025
Hoermann, T. J., Mills, S., Paulin, M., & Reussenzehn, S. (2013). The design and calibration of a 3D motion capture system for arthropods. Proceedings of the 28th International Conference of Image and Vision Computing New Zealand (IVCNZ). (pp. 265-269). IEEE. doi: 10.1109/IVCNZ.2013.6727027
Fu, X., McCane, B., Albert, M., & Mills, S. (2013). Action recognition based on principal geodesic analysis. Proceedings of the 28th International Conference of Image and Vision Computing New Zealand (IVCNZ). (pp. 259-264). IEEE. doi: 10.1109/IVCNZ.2013.6727026
Mills, S., Eyers, D., Huang, Z., Leung, K.-C., & Tang, X. (2013). Implementing automated photogrammetry for the New Zealand eScience Infrastructure (NeSI) facilities. In P. Denys, M. Strack, A. B. Moore & P. Whigham (Eds.), Proceedings of the 125th New Zealand Institute of Surveyors (NZIS) Annual Conference and the Spatial Information Research Centre New Zealand (SIRC NZ) GIS and Remote Sensing Research Conference: Celebrating the Past: Redefining the Future. (pp. 216-218). Wellington, New Zealand: New Zealand Institute of Surveyors. [Full Paper]
2012
Conference Contribution - Published proceedings: Full paper
Botterill, T., Mills, S., Green, R., & Lotz, T. (2012). Optimising light source positions to minimise illumination variation for 3D vision. Proceedings of the 2nd International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT). (pp. 222-229). IEEE. doi: 10.1109/3DIMPVT.2012.13
Botterill, T., Green, R., & Mills, S. (2012). Reconstructing partially visible models using stereo vision, structured light, and the g2o framework. In B. McCane, S. Mills & J. D. Deng (Eds.), Proceedings of the 27th Image and Vision Computing New Zealand Conference (IVCNZ). (pp. 370-375). New York: ACM. [Full Paper]
Martin, S., Subramanya, V., & Mills, S. (2012). Using graph layout to generalise focus+context image magnification and distortion. In B. McCane, S. Mills & J. D. Deng (Eds.), Proceedings of the 27th Image and Vision Computing New Zealand Conference (IVCNZ). (pp. 97-102). New York: ACM. [Full Paper]
Khan, N., McCane, B., & Mills, S. (2012). Feature set reduction for image matching in large scale environments. In B. McCane, S. Mills & J. D. Deng (Eds.), Proceedings of the 27th Image and Vision Computing New Zealand Conference (IVCNZ). (pp. 67-72). New York: ACM. doi: 10.1145/2425836.2425852
Conference Contribution - Published proceedings: Abstract
Khan, N., McCane, B., & Mills, S. (2012). Vision based indoor scene localization via smart phone [Demonstration]. Proceedings of the 13th International Conference of the NZ Chapter of the ACM's Special Interest Group on Human-Computer Interaction (CHINZ). (pp. 88). New York: ACM. doi: 10.1145/2379256.2379272
Khan, N., McCane, B., & Mills, S. (2012). Vision based indoor scene localization via smart phone. Proceedings of the 13th Annual Conference of the NZ ACM Special Interest Group on Human-Computer Interaction (CHINZ): @ The Interface Between Disciplines. Retrieved from http://www.chinz2012.otago.ac.nz/programme.html
Conference Contribution - Edited volume of conference proceedings
McCane, B., Mills, S., & Deng, J. D. (Eds.). (2012). Proceedings of the 27th Image and Vision Computing New Zealand Conference (IVCNZ). New York: ACM. 547p.
2011
Journal - Research Article
Bartie, P. J., Reitsma, F., & Mills, S. (2011). A combined GIS and stereo vision approach to identify building pixels in images and determine appropriate color terms. Journal of Spatial Information Science, 2, 59-83. doi: 10.5311/JOSIS.2011.2.6
Bartie, P., Reitsma, F., Kingham, S., & Mills, S. (2011). Incorporating vegetation into visual exposure modelling in urban environments. International Journal of Geographical Information Science, 25(5), 851-868. doi: 10.1080/13658816.2010.512273
Botterill, T., Mills, S., & Green, R. (2011). Bag-of-words-driven, single-camera simultaneous localization and mapping. Journal of Field Robotics, 28(2), 204-226. doi: 10.1002/rob.20368
Conference Contribution - Published proceedings: Full paper
Botterill, T., Mills, S., & Green, R. (2011). Refining essential matrix estimates from RANSAC. In P. Delmas, B. Wuensche & J. James (Eds.), Proceedings of the Image and Vision Computing New Zealand (IVCNZ) Conference. (pp. 500-505). Auckland, New Zealand: IVCNZ. [Full Paper]
Botterill, T., Mills, S., & Green, R. (2011). Fast RANSAC hypothesis generation for essential matrix estimation. Proceedings of the Digital Image Computing Techniques and Applications (DICTA) International Conference. (pp. 561-566). IEEE. doi: 10.1109/DICTA.2011.100
Botterill, T., Mills, S., & Green, R. (2011). Design and calibration of a hybrid computer vision and structured light 3D imaging system. Proceedings of the 5th International Conference on Automation, Robotics and Applications (ICARA). (pp. 441-446). IEEE. doi: 10.1109/ICARA.2011.6144924
2010
Chapter in Book - Research
Fourie, J., Mills, S., & Green, R. (2010). Visual tracking using harmony search. In Z. W. Geem (Ed.), Recent advances in harmony search algorithm: Studies in computational intelligence (Vol. 270). (pp. 37-50). Berlin, Germany: Springer. doi: 10.1007/978-3-642-04317-8
Journal - Research Article
Fourie, J., Mills, S., & Green, R. (2010). Harmony filter: A robust visual tracking system using the improved harmony search algorithm. Image & Vision Computing, 28(12), 1702-1716. doi: 10.1016/j.imavis.2010.05.006
Bartie, P., Reitsma, F., Kingham, S., & Mills, S. (2010). Advancing visibility modelling algorithms for urban environments. Computers, Environment & Urban Systems, 34(6), 518-531. doi: 10.1016/j.compenvurbsys.2010.06.002
Conference Contribution - Published proceedings: Full paper
Fourie, J., Green, R., & Mills, S. (2010). An accurate Harmony Search based algorithm for the blind deconvolution of binary images. Proceedings of the 25th International Conference of Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/IVCNZ.2010.6148825
Botterill, T., Mills, S., & Green, R. (2010). Real-time aerial image mosaicing. Proceedings of the 25th International Conference of Image and Vision Computing New Zealand (IVCNZ). IEEE. doi: 10.1109/IVCNZ.2010.6148850
Fourie, J., Green, R., & Mills, S. (2010). Counterpoint harmony search: An accurate algorithm for the blind deconvolution of binary images. Proceedings of the Audio Language and Image Processing (ICALIP) International Conference. IEEE. doi: 10.1109/ICALIP.2010.5685093
2009
Journal - Research Article
Stowers, J., Bainbridge-Smith, A., Hayes, M., & Mills, S. (2009). Optical flow for heading estimation of a quadrotor helicopter. International Journal of Micro Air Vehicles, 1(4), 229-239. doi: 10.1260/175682909790291474
Conference Contribution - Published proceedings: Full paper
Botterill, T., Mills, S., & Green, R. (2009). New conditional sampling strategies for speeded-up RANSAC. In A. Cavallaro, S. Prince & D. Alexander (Eds.), Proceedings of the British Machine Vision Conference. BMVA Press. doi: 10.5244/C.23.33
Botterill, T., Green, R., & Mills, S. (2009). A bag-of-words speedometer for single camera SLAM. Proceedings of the 24th Image and Vision Computing New Zealand (IVCNZ) International Conference. IEEE. doi: 10.1109/IVCNZ.2009.5378355
Fourie, J., Green, R., & Mills, S. (2009). Directed correspondence search: Finding feature correspondences in images using the harmony search algorithm. Proceedings of the 24th Image and Vision Computing New Zealand (IVCNZ) International Conference. IEEE. doi: 10.1109/IVCNZ.2009.5378431
2008
Chapter in Book - Research
Bartie, P., Mills, S., & Kingham, S. (2008). An egocentric urban viewshed: A method for landmark visibility mapping for pedestrian location based services. In A. Moore & I. Drecki (Eds.), Geospatical vision: New dimensions in cartography: Selected papers from the 4th National Cartographic Conference. (pp. 61-85). Berlin, Germany: Springer.
Journal - Research Article
French, A. P., Mills, S., Swarup, R., Bennett, M. J., & Pridmore, T. P. (2008). Colocalization of fluorescent markers in confocal microscope images of plant cells. Nature Protocols, 3(4), 619-628. doi: 10.1038/nprot.2008.31
Conference Contribution - Published proceedings: Full paper
Botterill, T., Mills, S., & Green, R. (2008). Speeded-up bag-of-words algorithm for robot localisation through scene recognition. Proceedings of the 23rd Image and Vision Computing New Zealand (IVCNZ) International Conference. IEEE. doi: 10.1109/IVCNZ.2008.4762067
Fourie, J., Mills, S., & Green, R. (2008). Visual tracking using the harmony search algorithm. Proceedings of the 23rd Image and Vision Computing New Zealand (IVCNZ) International Conference. IEEE. doi: 10.1109/IVCNZ.2008.4762068
O'Donohue, D., Mills, S., Kingham, S., Bartie, P., & Park, D. (2008). Combined thermal-LIDAR imagery for urban mapping. Proceedings of the 23rd International Image and Vision Computing New Zealand (IVCNZ) Conference. IEEE. doi: 10.1109/IVCNZ.2008.4762131
2007
Conference Contribution - Published proceedings: Full paper
Naeem, A., Pridmore, T., & Mills, S. (2007). Managing particle spread via hybrid particle filter/kernel mean shift tracking. In N. M. Rajpoot & A. H. Bhalerao (Eds.), Proceedings of the British Machine Vision Conference. BMVA Press. doi: 10.5244/C.21.70
2006
Journal - Research Article
Dharmasiri, S., Swarup, R., Mockaitis, K., Dharmasiri, N., Singh, S. K., Kowalchyk, M., … Mills, S., … Estelle, M. (2006). AXR4 is required for localization of the auxin influx facilitator AUX1. Science, 312(5777), 1218-1220. doi: 10.1126/science.1122847
Conference Contribution - Published proceedings: Full paper
Marshall, J., Mills, S., & Benford, S. (2006). Using object interactions to improve particle filter performance. In M. Chantler, B. Fisher & M. Trucco (Eds.), Proceedings of the British Machine Vision Conference. BMVA Press. doi: 10.5244/C.20.35
2000
Conference Contribution - Published proceedings: Full paper
Mills, S. J., & Novins, K. L. (2000). Motion segmentation in long image sequences. In M. Mirmehdi & B. Thomas (Eds.), Proceedings of British Machine Vision Conference. (pp. 162-171). Kingswood, UK: ILES Central Press. [Full Paper]
1998
Conference Contribution - Published proceedings: Full paper
Galvin, B., McCane, B., Novins, K. L., Mason, D. R., & Mills, S. J. (1998). Recovering Motion Fields: An Analysis of Eight Optical Flow Algorithms. Proceedings of the British Machine Vision Conference (BMVC)'98. (pp. 195-204). Southhampton. [Full Paper]
Mills, S. J., & Novins, K. L. (1998). Interval Computations in Computer Vision. Proceedings of Image and Vision Computing New Zealand (IVCNZ) '98. (pp. 142-145). Auckland, New Zealand: University of Auckland CITR. [Full Paper]