computer science

OPENS DOORS

Brendan McCane - Publications

2016

  1. H. Bennani, B. McCane, J. Cornwall, "Three Dimensional (3D) Lumbar Vertebrae Data Set", Data Science Journal, 15: 9, pp. 1–15, DOI: 10.5334/dsj-2016-009.
  2. T. Braunl, B. McCane, M. Rivera, X. Yu (Eds), "Pacific-Rim Symposium on Image and Video Technology 2015", LNCS, Vol 9431, 2016, 793 pages. ISBN: 978-3-319-29450-6. DOI: 10.1007/978-3-319-29451-3.
  3. T. Chakraborti, B. McCane, S. Mills and U. Pal, "Collaborative Representation based Fine-grained Species Recognition", Proceedings of Image and Vision Computing New Zealand, 2016. To appear.
  4. R. Mesbah, B. McCane and S. Mills, "Deep Convolutional Encoder-Decoder for Myelin and Axon Segmentation", Proceedings of Image and Vision Computing New Zealand, 2016. To appear.


2015

  1. Xiping Fu, Brendan McCane, Steven Mills and Michael Albert, "How to select hashing bits? A direct measurement approach", Proceedings of Image and Vision Computing NZ, 2015. IEEE, to appear.
  2. Maria Mikhisor, Geoff Wyvill, Brendan McCane and Steven Mills, "Adapting Generic Trackers for Tracking Faces", Proceedings of Image and Vision Computing NZ, 2015. IEEE, to appear.
  3. George H. Scott, James C. Ingle Jr., Brendan McCane, Charles L. Powell II, Robert C. Thunell, "Truncorotalia crassaformis from its type locality: Comparison with Caribbean plankton and Pliocene relatives", Marine Micropaleontology, Volume 117, May 2015, Pages 1-12, ISSN 0377-8398, doi: 10.1016/j.marmicro.2015.02.001.
  4. Adrien Jule, Brendan McCane, Alistair Knott and Steven Mills, "Discriminative touch from pressure sensors", Proceedings of the 6th International Conference on Automation, Robotics and Applications, IEEE, pp 279--282.
  5. Nabeel Khan, Brendan McCane and Steven Mills, "Better than SIFT?", Machine Vision and Applications, Vol 26, No 6, pp 819-836. Springer Berlin Heidelberg, doi: 10.1007/s00138-015-0689-7.


2014

  1. Lech Szymanski and Brendan McCane, "Deep networks are effective encoders of periodicity", IEEE Transactions on Neural Networks and Learning Systems. Vol 25, No 10, pp 1816-1827. doi: 10.1109/TNNLS.2013.2296046.
  2. Xiping Fu, Brendan McCane, Steven Mills, and Michael Albert, "NOKMeans: Non-orthogonal K-means hashing", in Asian Conference on Computer Vision (ACCV14). pp 162--177. 27% acceptance rate.
  3. Umair Mateen Khan, Brendan McCane, Steven Mills, and Andrew Trotman, "Emergent properties from feature co-occurrence in image collections", 2014 International Conference on Pattern Recognition, pp 2347--2352. pdf.
  4. Brendan McCane, "Case deletion for fundamental matrix computation", Proceedings of Image and Vision Computing New Zealand, 2014, pp 25-30.
  5. Brendan McCane, "Random projections for feature matching", Proceedings of Image and Vision Computing New Zealand, 2014, pp 78-83.
  6. Maria Mikhisor, Geoff Wyvill, Brendan McCane and Steven Mills, "3D Face Tracking in Fisheye Stereo Video Using Particle Filters", Proceedings of Image and Vision Computing New Zealand, 2014, pp 259-284.


2013

  1. Brendan McCane, "Shape Variation in Outline Shapes", Systematic Biology, Vol 62(1), pp 134-146, 2013. doi:10.1093/sysbio/sys080.
  2. Ignas Kukenys and Brendan McCane, "Touch Tracking with a Particle Filter", Machine Vision and Applications, Vol 24, No 7, pp 1501-1512, Oct 2013. doi:10.1007/s00138-013-0486-0.
  3. Lech Szymanski and Brendan McCane, "Learning in Deep Architectures With Folding Transformations", International Joint Conference on Neural Networks, 2013. doi: 10.1109/IJCNN.2013.6706945.
  4. Nabeel Khan and Brendan McCane, "Analysis of verification methods for indoor image matching", Asian Conference on Pattern Recognition, 2013. Oral presentation (9.6% acceptance rate).
  5. Xiping Fu, Shawn Martin, Steven Mills, Brendan McCane, "Improved Spectral Clustering using Adaptive Mahalanobis Distance", Asian Conference on Pattern Recognition, 2013.
  6. Xiping Fu, Brendan Mccane, Michael Albert and Steven Mills, "Action Recognition based on Principal Geodesic Analysis", Image and Vision Computing New Zealand (IVCNZ), Vol 28, pp 259-264, 2013.
  7. Nabeel Khan, Brendan McCane and Steven Mills, "3D versus 2D based indoor image matching analysis on images of low cost mobile devices", Image and Vision Computing New Zealand (IVCNZ), Vol 28, pp 253-258, 2013.
  8. Maria Mikhisor, Geoff Wyvill, Brendan McCane and Steven Mills, "The Integral Image Method for Fisheye Images", Image and Vision Computing New Zealand (IVCNZ), Vol 28, pp 1-6, 2013. Oral presentation (20% acceptance rate), Best Student Paper.


2012

  1. Nabeel Khan, Brendan McCane, Steven Mills, "Feature set reduction for image matching in large scale environments", Proceedings of Image and Vision Computing New Zealand, 2012, pp 67-72. doi: 10.1145/2425836.2425852 (Oral, acceptance rate: 17%).
  2. Brendan McCane, "The linear space of all images smaller than 32x32", Proceedings of Image and Vision Computing New Zealand, 2012, pp 156-161. doi: 10.1145/2425836.2425871. (Oral, acceptance rate: 17%).
  3. Umair Mateen Khan, Brendan McCane, Andrew Trotman, "A Feature Compression Scheme for Large Scale Image Retrieval Systems", Proceedings of Image and Vision Computing New Zealand, 2012, pp492-496. doi: 10.1145/2425836.2425929.
  4. Umair Mateen Khan, Brendan McCane, Andrew Trotman, "Emergent Semantic Patterns in Large Scale Image Dataset: A Datamining Approach", Digital Image Computing: Techniques and Applications, 2012, pp1-8. doi: 10.1109/DICTA.2012.6411739. (Oral, acceptance rate: 23%).
  5. Nabeel Khan, Brendan McCane, "Smart phone application for indoor scene localization", The 14th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '12), 2012, pp201-202. doi: 10.1145/2384916.2384953.
  6. Lech Szymanski, Brendan McCane, "Push-pull separability objective for supervised layer-wise training of neural networks", Proceedings of the International Joint Conference on Neural Networks, pp 22-30, June 2012. doi: 10.1109/IJCNN.2012.6252366.
  7. Lech Szymanski, Brendan McCane, "Deep, super-narrow neural network is a universal classifier", Proceedings of the International Joint Conference on Neural Networks, pp 1076-1083, June 2012. doi: 10.1109/IJCNN.2012.6252513.
  8. Nabeel Khan, Brendan McCane, Steven Mills, "Vision based indoor scene localization via smart phone", Proceedings of the 13th International Conference of the NZ Chapter of ACM SIGCHI (CHINZ), p 88. doi: 10.1145/2379256.2379272.
  9. Brendan McCane, Steven Mills, Jeremiah Deng (eds), "IVCNZ '12: Proceedings of the 27th Conference on Image and Vision Computing New Zealand", Dunedin, New Zealand, Nov 26-28, 2012, 547 pages. ISBN: 978-1-4503-1473-2, ACM, New York, USA.


2011

  1. Brendan McCane, Martin R. Kean, Integration of parts in the facial skeleton and cervical vertebrae, American journal of orthodontics and dentofacial orthopedics, Vol 139(1), pp e13-e30, doi 10.1016/j.ajodo.2010.06.016, Jan 2011.
  2. Nabeel Younus Khan, Brendan McCane, Geoff Wyvill, Homography based Visual Bag of Word Model for Scene Matching in Indoor Environments, Proceedings of Image and Vision Computing New Zealand, pp 70-75, Nov 2011. ISBN 978-0-473-20281-1.
  3. Brendan McCane, Model-based Estimation of Vertebrae from Uncalibrated Bi-Planar XRays, Proceedings of Image and Vision Computing New Zealand, pp 305-310, Nov 2011. ISBN 978-0-473-20281-1.
  4. Lech Szymanski, Brendan McCane, Visualising Kernel Spaces, Proceedings of Image and Vision Computing New Zealand, pp 449-452, Nov 2011. ISBN 978-0-473-20281-1.
  5. Nabeel Younus Khan, Brendan McCane, Geoff Wyvill, SIFT and SURF Performance Evaluation Against Various Image Deformations on Benchmark Dataset, Proceedings of International Conference on Digital Image Computing: Techniques and Applications, pp 501-506, 2011. IEEE Computer Society, DOI:10.1109/DICTA.2011.90.


2009

  1. Brendan McCane, "Introductory Programming with Python", Kiwi PyCon, Christchurch, November, 2009. Python Monograph Series, Volume 1 (2009), Paper number 18.
  2. Joost Vromen, Brendan McCane, "Red Blood Cell Segmentation from SEM Images", Conference on Image and Vision Computing New Zealand, Wellington, November 2009.
  3. Ignas Kukenys, Brendan McCane, Tim Neumegen, "Training support vector machines on large sets of image data", Asian Conference on Computer Vision, Xi'An, China, September 2009.
  4. A.A. Navarro Newball, G. Wyvill, B. McCane, "Object Interaction using Tabulated Spheres Subsets", Conference on Theory and Practice of Computer Graphics, Cardiff University, June 2009, pp 57-60.
  5. S.C.B. Lam, B. McCane, R. Allen, "Automated Tracking in Digitized Videofluoroscopy Sequences for Spine Kinematic Analysis", Image and Vision Computing. Vol 27, 2009, pp 1555-1571. Published online: Download.
  6. A. Angelidis, B. McCane, "Fur Simulation with Spring Continuum", The Visual Computer, Vol 25(3), pp 255-265, March 2009. local pdf. Official download.


2008

  1. I. Kukenys, B. McCane, "Classifier Cascades for Support Vector Machines", Image and Vision Computing New Zealand, 2008, doi: 10.1109/IVCNZ.2008.4762088.
  2. B. McCane, M.H. Albert, "Distance Functions for Categorical and Mixed Variables", Pattern Recognition Letters, 29:7, pp 985-993, May 2008. doi:10.1016/j.patrec.2008.01.021 pdf.
  3. K. Rezajooi, M. Moumene, B. McCane and A. T. H. Casey, "Potential adverse effects of incorrect centre of rotation placement in cervical disc arthroplasty devices" abstract published in, Proceedings of the 152 Meeting of the Society of British Neurological Surgeons, British Journal of Neurosurgery, Volume 22, Issue 4 August 2008 , pages 463 - 483. Best Oral Presentation (K. Rezajooi).
  4. A.A. Navarro Newball, G. Wyvill, Brendan McCane, "Efficient Mesh Generation Using Subdivision Surfaces", Systema y Telematica, Vol 6(12), pp 111-126, December 2008.


2006

  1. B. McCane, T. King, J.H. Abbott, "Calculating the 2D motion of lumbar vertebrae using splines.", Journal of Biomechanics, 39:14, pp 2703-2708, doi:10.1016/j.jbiomech.2005.09.015. pdf.
  2. J H Abbott, Julie M Fritz, Brendan McCane, Barry Shultz, Peter Herbison, Brett Lyons, Georgia Stefanko and Richard M Walsh, "Lumbar segmental mobility disorders: comparison of two methods of defining abnormal displacement kinematics in a cohort of patients with non-specific mechanical low back pain", BMC Musculoskeletal Disorders 2006, 7:45, doi:10.1186/1471-2474-7-45, 19 May 2006. Web access.


2005

  1. J H Abbott, Brendan McCane, Peter Herbison, Graeme Moginie, Cathy Chapple, Tracy Hogarty, "Lumbar segmental instability: a criterion-related validity study of manual therapy assessment", BMC Musculoskeletal Disorders, 6:56, November, 2005, doi:10.1186/1471-2474-6-56. Web access.
  2. B. McCane, J. Haxby Abbott and T. King, "On Calculating the Finite Centre of Rotation for Rigid Planar Motion", Medical Engineering and Physics, 27(1), pp 75-79, 2005. pdf, journal website.
  3. B. McCane (ed), Proceedings of Image and Vision Computing New Zealand (IVCNZ), 512p, 2005. ISBN 0-473-10523-3. Webpage: http://www.cs.otago.ac.nz/ivcnz05/programme.html.


2004

  1. B. McCane and T. Caelli, "Diagnostic Tools for Evaluating and Updating Hidden Markov Models," Pattern Recognition, 37(7), pp 1325-1337, 2004. pdf.
  2. J. Mackie and B.McCane, "Finger Detection with Decision Trees", proceedings of Image and Vision Computing New Zealand 2004, pp 399-403. pdf.
  3. A. Wood, B, McCane and S. King, "Ray Tracing Arbitrary Objects on the GPU", proceedings of Image and Vision Computing New Zealand 2004, pp 327-332. pdf.
  4. B. McCane, K. Novins and M. Albert, "Optimizing Cascade Classifiers", pdf, unpublished manuscript.


2003

  1. T. Caelli and B. McCane, "Components analysis of hidden Markov models in computer vision," presented at 12th International Conference on Image Analysis and Processing, Mantova, Italy, 2003, pp. 510-515. postscript, pdf.
  2. B. McCane and K. Novins, "On Training Cascade Face Detectors," presented at Image and Vision Computing New Zealand, Palmerston North, 2003, pp. 239-244. postscript, pdf.
  3. S. King, A. Knott, and B. McCane, "Language-Driven Nonverbal Communication in a Bilingual Conversational Agent," presented at 16th International Conference on Computer Animation and Social Agents, 2003, pp. 17-22.


2002

  1. McCane, B., B. Galvin, et al. (2002). Algorithmic Fusion for More Robust Feature Tracking. International Journal of Computer Vision 49(1): 79-89.
  2. Vittrup, M., M. K. D. Sorensen, et al. (2002). Pose Estimation by Applied Numerical Techniques Image and Vision Computing New Zealand 2002 (IVCNZ2002), Auckland.


2001

  1. McCane, B., Novins, K., Crannitch, D. and Galvin, B. (2001) On Benchmarking Optical Flow, Computer Vision and Image Understanding, 84(1), 126-143. pdf
  2. Da, L., McCane, B. and Wei, P. (2001). "Character Preclassification Based on Fuzzy Typographical Analysis" In 6th International Conference on Document Analysis and Recognition, IEEE, Seattle, USA.
  3. Novins, K. and McCane, B. (2001) Incorporating Primary Source Material into the Undergraduate Computer Vision Curriculum, International Journal of Pattern Recognition and Artificial Intelligence, 15, 775-787.
  4. Pengelly, J., McCane, B. and Nicol, J. (2001). "Computerized Evaluation of Mammography Phantom Image Quality" In Image and Vision Computing New Zealand 2001, Dunedin, pp. 345-350.
  5. Da, L., McCane, B. and Wei, P. (2001). "A Topographic Segmentation Method for Merged Character Images" In Image and Vision Computing New Zealand 2001, Dunedin, pp. 207-212.
  6. McCane, B. (2001). Real Time Deformable Template Tracking In International Conference on Computer Vision and Pattern Recognition, Technical Sketch, IEEE, Hawaii. Here are some example avi movies: body tracking, eye tracking, eye tracking, example minimisation.
  7. B. McCane, K. Novins (eds), Proceedings of Image and Vision Computing New Zealand (IVCNZ), 402p, 2001. ISBN 0-473-08025-7. Webpage.


2000

  1. B. McCane, "Snakes and Spiders", Proceedings of International Conference on Pattern Recognition, pp. 652-655, Barcelona, Spain, 2000. Download postscript
  2. K. Novins and B. McCane, "Teaching Computer Vision Using Primary Source Material", Proceedings of Proceedings of the IEEE Workshop on Undergraduate Education and Image Computation, pp. , Hilton Head, South Carolina, 2000.


1999

  1. A. Erickson, B. McCane, and K. Novins, "Face and Eye Tracking", Proceedings of Image and Vision Computing New Zealand, pp. 139-144, Christchurch, 1999.
  2. D. Mason, B. McCane, and K. Novins, "Generating motion fields for the evaluation of optical flow algorithms on complex scenes", Proceedings of Computer Graphics International (CGI) '99, pp. 65-69, Canmore, 1999.
  3. B. Galvin, B. McCane, and K. Novins, "Robust Feature Tracking", Proceedings of Fifth International/National Conference on Digital Image Computing, Techniques and Applications, pp. 232-236, Perth, Western Australia, 1999. Download postscript
  4. B. Galvin, B. McCane, and K. Novins, "OSCAR: Object Segmentation using Correspondence and Relaxation", Proceedings of Proceedings of the Second International Conference on 3-D Digital Imaging and Modeling (3DIM) '99, pp. , Ottawa, Canada, 1999.
  5. B. Galvin, B. McCane, and K. Novins, "Virtual Snakes for Occlusion Analysis", Proceedings of Computer Vision and Pattern Recognition, pp. 294-299, Fort Collins, Colorado, USA., 1999.


1998

  1. B. Galvin, B. McCane, K. Novins, D. Mason, and S. Mills, "Recovering Motion Fields: An Evaluation of Eight Optical Flow Algorithms", Proceedings of Ninth British Machine Vision Conference, pp. 195-204, Southhampton, United Kingdom, 1998.
  2. B. Galvin, K. Novins, and B. McCane, "Motion-Based Segmentation Using Active Contours", Proceedings of Image and Vision Computing New Zealand, pp. 346-351, University of Auckland, Auckland, New Zealand, 1998.
  3. B. McCane, T. Caelli, and O. d. Vel, "Inducing Complex Spatial Descriptions in Two Dimensional Scenes", in Learning and Reasoning with Complex Representations, vol. 1359, Lecture Notes in Artificial Intelligence, G. Antoniu, A. K. Ghose, and M. Truszczynski, Eds. Cairns: Springer, 1998, pp. 123-132. Also in: Workshop on Inducing Complex Representations: Pacific Rim International Conference on Artificial Intelligence, 1996.
  4. B. McCane, K. Novins, and B. Galvin, "On the Evaluation of Optical Flow Algorithms", Proceedings of Fifth International Conference on Control, Automation, Robotics and Vision, pp. 1563-1567, Singapore, 1998. Download postscript.


1997

  1. B. McCane, T. Caelli, and O. d. Vel, "Learning to recognise 3D objects using sparse depth and intensity information", International Journal of Pattern Recognition and Artificial Intelligence, vol. 11, pp. 909-931, 1997.
  2. B. McCane and T. Caelli, "Fuzzy Conditional Rule Generation for the Learning and Recognition of 3D Objects from 2D Images", in Machine Learning and Image Interpretation, Advances in Computer Vision and Machine Intelligence, T. Caelli and W. F. Bischof, Eds.: Plenum Press, 1997, pp. 17--65. .
  3. B. McCane and T. Caelli, "Multi-scale adaptive segmentation using edge and region based attributes", Proceedings of First International Conference on Knowledge-based Intelligent Electronic Systems, pp. 72-80, Adelaide, South Australia, 1997.
  4. B. Galvin and B. McCane, "On the creation of dense depth fields from long image sequences", Proceedings of Digital Image Computing: Techniques and Applications, pp. 373-378, Massey University, Albany Campus, Auckland, 1997. Download PDF.
  5. B. McCane, "On the evaluation of image segmentation algorithms", Proceedings of Digital Image Computing: Techniques and Applications, pp. 455-460, Massey University, Albany Campus, Auckland, 1997. Download postscript.


Earlier

  1. B. McCane, T. Caelli, and O. d. Vel, "Recognising 3D Machine Objects using a Fuzzy Machine Learning Approach", Proceedings of Pacific Rim International Conference on Artificial Intelligence: Poster Proceedings, pp. 77-85, Cairns, 1996.
  2. B. McCane, T. Caelli, and O. d. Vel, "A Fuzzy Machine Learning Approach to Recognising 3D Objects in 2D Scenes", Proceedings of Asian Conference on Computer Vision, pp. 106-110, Singapore, 1995.