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Steven Mills - Publications

My most recent publications are listed below, along with a selection of older papers. For a more complete list, see my Google Scholar listing.

2014

  1. T. Botterill, R. Green, and S. Mills, Voxel Carving for Collision Avoidance for a Vine Pruning Robot Arm Image and Vision Computing New Zealand (IVCNZ), 2014
  2. T. Botterill, R. Green, and S. Mills, A Decision Theoretic Formulation for Sparse Stereo Correspondence Problems Int. Conf. 3D Vision (3DV), 2014
  3. J. Campbell, S. Mills, and M. Paulin, Kinematic Spider Tracking with PoseCut Image and Vision Computing New Zealand (IVCNZ), 2014
  4. X. Fu, B. McCane, S. Mills, and M. Albert, NOKmeans: Non-Orthogonal K-means Hashing Asian Conference on Computer Vision (ACCV), 2014
  5. R., Johnson, L. Szymanski, and S. Mills, Hierarchical Structure from Motion Optical Flow Algorithms to Harvest Three-Dimensional Features from Two-Dimensional Neuro-Endoscopic Images, Journal of Clinical Neuroscience, 2014 (online preprint).
  6. U. Khan, S. Mills, B. McCane, and A. Trotman, Emergent Properties from Feature Co-occurrence in Image Collections Int. Conf. Pattern Recognition (ICPR), 2014
  7. M. Mikhisor, G. Wyvill, B. McCane, and S. Mills 3D Face Tracking in Fisheye Stereo Video Using Particle Filters Image and Vision Computing New Zealand (IVCNZ), 2014
  8. S. Mills, D. C. Ribeiro, G. Johnson, and E. Zulkifly Principal Components Representations of Chewing Motion Image and Vision Computing New Zealand (IVCNZ), 2014
  9. S. Mills, L. Szymanski, and R. Johnson Hierarchical Structure and Motion from Endoscopic Video Image and Vision Computing New Zealand (IVCNZ), 2014
  10. X. Tang, Z. Huang, D. Eyers, S. Mills, and M. Guo, Scalable Multicore k-NN Search via Subspace Clustering for Filtering, IEEE Trans. Parallel and Distributed Systems, 2014 (online preprint)
  11. X. Tang, S. Mills, D. Eyers, K.-C. Leung, Z. Huang, and M. Guo, Data Filtering for Scalable High Dimensional k-NN Search on Multicore Systems Int. Symp. High-Performance Parallel and Distributed Computing (HPDC), 2014
  12. C. Young, D. Eyers, and S. Mills Parallel and Distributed Mosaic Seamline Estimation Image and Vision Computing New Zealand (IVCNZ), 2014

2013

  1. T. Botterill, S. Mills, and R. Green, Correcting Scale Drift by Object Recognition in Single-Camera SLAM, IEEE Trans. Cybernetics, 43 (6), pages 1767-1780.
  2. S. Mills and P. McLeod, Global Seamline Networks for Orthomosaic Generation via Local Search, ISPRS Journal of Photogrammetry and Remote Sensing, 75, pages 101--111.
  3. T. Botterill, R. Green, and S. Mills, Detecting Structured Light Patterns in Colour Images using a Support Vector Machine Proc. Int. Conf. Image Processing (ICIP), 2013, pages 1202-1206.
  4. T. Botterill, R. Green, and S. Mills, Finding a Vine's Structure by Bottom-up Parsing of Cane Edges Proc. Image and Vision Computing New Zealand (IVCNZ), 2013, pages 112-117.
  5. X. Fu, S. Martin, B. McCane, and S. Mills, Improved Spectral Clustering using Adaptive Mahalanobis Distance Proc. Asian Conf. Pattern Recognition (ACPR) 2013.
  6. X. Fu, B. McCane, M. Albert, and S. Mills, Action Recognition based on Principal Geodesic Analysis Proc. Image and Vision Computing New Zealand (IVCNZ), 2013, pages 259-264.
  7. T. Hoermann, S. Mills, M. Paulin, and S. Reußenzehn, The Design and Calibration of a 3D Motion Capture System for Arthropods Proc. Image and Vision Computing New Zealand (IVCNZ), 2013, pages 265-269.
  8. N. Khan, B. McCane, and S. Mills, 3D versus 2D Based Indoor Image Matching Analysis on Images from Low Cost Mobile Devices Proc. Image and Vision Computing New Zealand (IVCNZ), 2013, pages 253-258.
  9. K.-C. Leung, D. Eyers, X. Tang, S. Mills, and Z. Huang, Investigating Large-Scale Feature Matching using the Intel Xeon Phi Coprocessor Proc. Image and Vision Computing New Zealand (IVCNZ), 2013, pages 148-153.
  10. M. Mikhisor, G. Wyvill, B. McCane, and S. Mills, The Integral Image Method for Fisheye Images Proc. Image and Vision Computing New Zealand (IVCNZ), 2013, pages 1-6.
  11. S. Mills, Relative Orientation and Scale for Improved Feature Matching Proc. Int. Conf. Image Processing (ICIP), 2013, pages 3484-3488.
  12. S. Mills, D. Eyers, K.-C. Leung, X. Tang, and Z. Huang, Large-Scale Feature Matching with Distributed and Heterogeneous Computing Proc. Image and Vision Computing New Zealand (IVCNZ), 2013, pages 208-213.
  13. X. Tang, S. Mills, D. Eyers, Z. Huang, K.-C. Leung, and M. Guo, Performance Tuning on Multicore Systems for Feature Matching within Image Collections Proc. Int. Conf. Parallel Programming Workshops (ICPPW) 2013.
  14. X. Tang, S. Mills, D. Eyers, K.-C. Leung, Z. Huang, and M. Guo, Performance Bottlenecks in Many Core Systems: A Case Study on Large Scale Feature Matching within Image Collections Proc. Int. Conf. High Performance Computing and Communications (HPCC) 2013.

2012

  1. T. Botterill, R. Green, and S. Mills, Optimising Light Source Positions to Minimise Illumination Variation for 3D Vision, Proc. Int. Conf. 3D Modelling, Processing, Visualisation, and Transmission (3DIMPVT) 2012, pages 222-229.
  2. T. Botterill, R. Green, and S. Mills, Reconstructing Partially Visible Models Using Stereo Vision , Structured Light, and the g2o Framework, Proc. Image and Vision Computing New Zealand (IVCNZ) 2012, pages 388-393.
  3. N. Khan, B. McCane, and S. Mills, Feature Set Reduction for Image Matching in Large Scale Environments, Proc. Image and Vision Computing New Zealand (IVCNZ) 2012, pages 67-72.
  4. N. Khan, B. McCane, and S. Mills, Vision Based Indoor Scene Localization Via Smart Phone, Proc. Conf. of NZ Chapter of the ACM Special Interest Group on Human-Comptuer Interaction (CHINZ) 2012, p. 88
  5. S. Martin, V. Subramanya, and S. Mills, Using Graph Layout to Generalise Focus+Context Image Magnification and Distortion, Proc. Image and Vision Computing New Zealand (IVCNZ) 2012, pages 97-102.
  6. B. McCane, S. Mills, and J. Deng (Eds.), Proceedings of the 27th Conference on Image and Vision Computing New Zealand, 2012

2011

  1. P. Bartie, F. Reitsma, S. Kingham, and S. Mills, Incorporating Vegetation into Visual Exposure Modelling in Urban Environments, International Journal of Geospatial Information Science, 25(5), pages 851--868
  2. P. Bartie, F. Reitsma, and S. Mills, A Combined GIS and Stereo Vision Approach to Identify Building Pixels in Images and Determine Appropriate Colour Terms, Journal of Spatial Information Science, 2, pages 59--83
  3. T. Botterill, S. Mills, and R. Green, Bag-of-Words Driven Single Camera SLAM, Journal of Field Robotics, 28(2), pages 294--226
  4. T. Botterill, S. Mills, and R. Green, Design and Calibration of a Hybrid Computer Vision and Structured Light 3D Imaging System, Int. Conf. on Automation, Robotics, and Applications (ICARA)
  5. T. Botterill, S. Mills, and R. Green, Fast RANSAC Hypothesis Generation for Essential Matrix Generation, Int. Conf. on Digital Image Computing: Techniques and Applications (DICTA)
  6. T. Botterill, S. Mills, and R. Green, Refining Essential Matrix Estimates from RANSAC, Image and Vision Computing New Zealand (IVCNZ)

Selected Older Publications

  1. P. Bartie, S. Kingham, S. Mills, and F. Reitsma, Advancing Visibility Modelling Algorithms for Urban Environments, Computers, Environment, and Urban Systems, 34(6), pages 518--531
  2. J. Fourie, S. Mills, and R. Green, Harmony Filter: A Robust Visual Tracking System Using the Improved Harmony Search Algorithm, Image and Vision Computing, 28(12), pages 1708--1716
  3. T. Botterill, S. Mills, and R. Green, New Conditional Sampling Strategies for Speeded-Up RANSAC, British Machine Vision Conference (BMVC), 2009
  4. A. French, S. Mills, R. Swaraup, M. Bennet, and T. Pridmore, Co-Localization of Flourescent Markers in Confocal Microscope Images of Plant Cells, Nature Protocols, 2008, 3, 619-628
  5. A. Naeem, T. Pridmore, and S. Mills, Managing Particle Spread via Hybrid Particle Filter / Kernel Mean Shift Tracking, British Machine Vision Conference (BMVC), 2007
  6. J. Marshall, S. Mills, and S. Benford, Using Object Interactions to Improve Particle Fitler Performance, British Machine Vision Conference (BMVC), 2006, pages 337-346
  7. A. French, T. Pridmore, and S. Mills, Condensation Tracking through a Hough Space, International Conference on Pattern Recognition (ICPR), 2004
  8. S. Mills, T. Pridmore, and M. Hills, Tracking in a Hough Space with the Extended Kalman Filter, British Machine Vision Conference (BMVC), 2003, pages 173-182
  9. S. Mills and K. Novins, Motion Segmentation in Long Image Sequences, British Machine Vision Conference (BMVC), 2000, pages 152-171