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Click
here for a complete list of publications from the Computer Vision Lab.
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M. Mattar, S. Murtagh and A. Hanson.
Software Tools for Image Analysis.
Technical Report UM-CS-2009-017, Dept. of Computer Science, University of Massachusetts, Amherst, 2009.
[pdf]
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M. Mattar, M. Ross and E. Learned-Miller.
Nonparametric Curve Alignment.
IEEE International Conference on Acoustics, Speech and Signal Processing, Taipei, Taiwan, April 2009.
[pdf][poster]
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G. Huang, M. Mattar, T. Berg and E. Learned-Miller.
Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments.
IEEE ECCV Faces in Real-Life Images Workshop, Marseille, France, October 2008.
[pdf]
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M. Mattar, M. Ross and E. Learned-Miller.
Nonparametric Curve Alignment.
IEEE International Conference on Acoustics, Speech and Signal Processing, Taipei, Taiwan, April 2009.
[pdf][poster]
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G. Huang, M. Mattar, T. Berg and E. Learned-Miller.
Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments.
IEEE ECCV Faces in Real-Life Images Workshop, Marseille, France, October 2008.
[pdf]
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D. Lisin, M. Mattar, M. Blaschko, M. Benfield and E. Learned-Miller.
Combining Local
and Global Image Features for Object Class Recognition.
IEEE CVPR Workshop on Learning in Computer Vision and Pattern
Recognition , San Diego, CA, June 2005.
[abstract/bibtex]
[pdf]
[ps.gz]
[slides(.pdf)]
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M. Mattar, A. Hanson and E. Learned-Miller.
Sign Classification using Local and Meta-Features.
IEEE CVPR Workshop on Computer Vision Applications for the Visually
Impaired , San Diego, CA, June 2005.
[abstract/bibtex]
[pdf]
[ps.gz]
[slides(.ppt) - 75MB]
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P. Silapachote, J. Weinman, A. Hanson, R. Weiss and M. Mattar.
Automatic Sign Detection and Recognition in Natural Scenes.
IEEE CVPR Workshop on Computer Vision Applications for the Visually
Impaired , San Diego, CA, June 2005.
[abstract/bibtex]
[pdf ]
[ps.gz ]
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M. Blaschko, G. Holness, M. Mattar, D. Lisin,
P. Utgoff, A. Hanson, H. Schultz, E. Riseman, M. Sieracki, W. Balch and
B. Tupper.
Automatic In Situ Identification of Plankton.
Proceedings of IEEE Workshop on Applications of Computer Vision,
Breckenridge, Colorado, January 2005.
[abstract/bibtex]
[pdf]
[ps.gz]
[poster (.ppt)]
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M. Mattar, S. Murtagh and A. Hanson.
Software Tools for Image Analysis.
Technical Report UM-CS-2009-017, Dept. of Computer Science, University of Massachusetts, Amherst, 2009.
[pdf]
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M. Mattar and E. Learned-Miller.
Improved Generative Models for Continuous Image Features through Tree-Structured Non-parametric
Distributions.
Technical Report UM-CS-2006-057, Dept. of Computer Science, University of Massachusetts, Amherst, 2006.
[abstract/bibtex]
[pdf]
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M. Mattar, A. Hanson and E. Learned-Miller.
Sign Classification for the Visually Impaired.
Technical Report UM-CS-2005-014, Dept. of Computer Science, University of Massachusetts, Amherst, 2005.
[abstract/bibtex]
[pdf]
[ps.gz]
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M. Sieracki, E. Riseman, W. Balch, M. Benfield, A. Hanson, C. Pilskaln, H. Schultz, C. Sieracki,
P. Utgoff, M. Blaschko, G. Holness, M. Mattar, D. Lisin and B. Tupper.
Automated Classification of Plankton from Digital Images.
ASLO Aquatic Sciences Meeting , Salt Lake City, Utah, February 2005.
[abstract]
[poster(.ppt)]
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M. Mattar.
Nonparametric Curve Alignment.
Masters Thesis, University of Massachusetts, Amherst, September 2008.
Readers: Allen R. Hanson and Erik G. Learned-Miller
[pdf]
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M. Mattar.
Object Recognition with Applications to Sign Recognition and Plankton Classification.
Honors Thesis, University of Massachusetts, Amherst, September 2005.
Readers: Allen R. Hanson and Erik G. Learned-Miller
Winner of Honors Deans Award and
Honors Research Grant
- Plankton Analysis System (www)
SCOR 130 Working Group annual meeting, Sao Paulo, Brazil, May 2008.
- Joint Alignment of ERP Signals via Entropy Minimization (with
Michael Ross).
Department of Psychology, UMass, Amherst, December 2006.
- Sign Classification using Local and Meta-features
IEEE Workshop on Computer Vision Applicationsfor the Visually Impaired (in conjunction with CVPR),
San Diego, California, June 2005.
[Slides (.ppt) - 75MB]
- Dynamic Clustering.
Department of Computer Science, UMass, Amherst, May 2005.
- Learning Vector Quantization.
Department of Computer Science, UMass, Amherst, February 2005.
- Ground-truth Labeling and its Effects on
Classification.
Bigelow Laboratory for Ocean Sciences,
Boothbay Harbor, Maine, September 2004.
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