Index:
People
Research
Links
Research:
Heteroscedasticity
Robust Analysis
Bootstrap
Retrieval
Miscellaneous
Publications (1996-present)
*Conference Proceedings
*Journal Papers
*Book Chapters
O.
Tuzel, F. Porikli, P. Meer:
Learning on Lie Groups for Invariant Detection and Tracking.
Accepted for publication in 2008 Computer Vision and Pattern Recognition Conference, Anchorage, Alaska, June 2008.
R.
Subbarao, Y. Genc, P. Meer:
Robust Unambiguous Parametrization of the Essential Manifold.
Accepted for publication in 2008 Computer Vision and Pattern Recognition Conference, Anchorage, Alaska, June 2008.
Lin Yang, B. Georgescu, Yefeng Zheng, P. Meer, D. Comaniciu:
3D Ultrasound tracking of the left ventricles using one-step forward
prediction and data fusion of collaborative trackers.
Accepted for publication in 2008 Computer Vision and Pattern Recognition Conference , Anchorage, Alaska, June 2008.
Lin Yang, Wenjin Chen, P. Meer, G. Salaru, M.D. Feldman, D.J. Foran:
High throughput analysis of breast cancer specimens on the grid.
10th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) , Brisbane, Australia, November 2007, Springer, LNCS 4791, 617-624.
Lin Yang, P. Meer, D.J. Foran:
Multiple class segmentation using a unified framework over mean-shift
patches.
2007 Computer Vision and Pattern Recognition Conference, Minneapolis, Minnesota, June 2007.
R.
Subbarao, P. Meer:
Discontinuity Preserving Filtering over Analytic Manifolds.
2007 Computer Vision and Pattern Recognition Conference, Minneapolis, Minnesota, June 2007.
O.
Tuzel, F. Porikli, P. Meer: Human
Detection via Classification on Riemannian Manifolds.
2007 Computer Vision and Pattern Recognition Conference, Minneapolis, Minnesota, June 2007.
RUNNER-UP BEST PAPER AWARD.
R.
Lenz, P. Latorre Carmona, P. Meer: The
hyperbolic geometry of illumination induced chromaticity changes.
2007 Computer Vision and Pattern Recognition Conference, Minneapolis, Minnesota, June 2007.
R.
Subbarao, Y. Genc, P. Meer: Nonlinear Mean
Shift for Robust Pose Estimation.
8th IEEE Workshop on Applications of Computer Vision, Austin, TX, February 2007.
R.
Subbarao, P. Meer: Beyond RANSAC: User
Independent Robust Regression.
Workshop on 25 Years of RANSAC, New York, NY, June 2006 (in conjunction with CVPR'06).
F.
Porikli, O.Tuzel, P. Meer: Covariance
Tracking using Model Update Based on Means on Riemannian Manifolds.2006 Computer Vision and Pattern Recognition Conference, New York City, NY, June 2006, vol. I, 728-735.
R.
Subbarao, P. Meer: Nonlinear mean shift
for clustering over analytic manifolds.2006 Computer Vision and Pattern Recognition Conference, New York City, NY, June 2006, vol. I, 1168-1175.
O. Tuzel, F. Porikli, P. Meer: Region
covariance: A fast descriptor for detection and classification.
9th European Conference on Computer Vision, Graz, Austria, May 2006, vol. II, 589-600.
R.
Subbarao, P. Meer: Subspace estimation using
projection based M-estimators over Grassmann manifolds.
9th European Conference on Computer Vision, Graz, Austria, May 2006, vol. I, 301-312.
O.
Tuzel, R. Subbarao, P. Meer: Simultaneous
multiple 3D motion estimation via mode finding on Lie groups.
10th IEEE International Conference on Computer Vision, Beijing, China, October 2005, vol. I, 18-25.
R.
Subbarao, P. Meer, Y. Genc: A balanced
approach to 3D tracking from image streams.
4th IEEE and ACM International Symposium on Mixed and Augmented Reality., Vienna, Austria, October 2005, 70-78.
O.
Tuzel, F. Porikli, P. Meer: A Bayesian
approach to background modeling.
IEEE International Workshop on Machine Vision for Intelligent Vehicles , San Diego, CA, June 2005 (in conjunction with CVPR'05)
R.
Subbarao, P. Meer: Heteroscedastic projection
based M-estimators.
Workshop on Empirical evaluation Methods in Computer Vision, San Diego, CA, June 2005 (in conjunction with CVPR'05).
H.
Chen, I. Shimshoni, P. Meer: Model based
object recognition by robust information fusion.
17th International Conference on Pattern Recognition, Cambridge, United Kingdom, August 2004, vol. III:57-60.
B.
Georgescu, I. Shimshoni, P. Meer: Mean shift
based clustering in high dimensions: A texture classification example.
9th International Conference on Computer Vision, Nice, France, October 2003, 456-463.
H.
Chen, P. Meer: Robust regression with projection
based M-estimators.9th International Conference on Computer Vision, Nice, France, October 2003, 878-885.
H.
Chen, P. Meer: Robust fusion of uncertain
information.IEEE Workshop on Learning in Computer Vision and Pattern Recognition, Madison, WI, June 2003.
C.
M. Christoudias, B. Georgescu, P. Meer: Synergism
in low level vision.16th International Conference on Pattern Recognition., Quebec City, Canada, August 2002, vol. IV, 150-155.
B.
Georgescu, P. Meer: Balanced recovery of 3D
structure and camera motion from uncalibrated image sequences.7th European Conference on Computer Vision, Copenhagen, May 2002, vol. II, 294-308.
H.
Chen, P. Meer: Robust computer vision
through kernel density estimation.7th European Conference on Computer Vision, Copenhagen, May 2002, vol. I, 236-250.
H.
Chen, P. Meer, D.E. Tyler: Robust
regression for data with multiple structures.
2001 IEEE Conference on Computer Vision and Pattern Recognition, Kauai, Hawaii, December 2001, vol. I, 1069-1075.
J.
Bride, P. Meer: Registration via direct
methods: A statistical approach.
2001 IEEE Conference on Computer Vision and Pattern Recognition, Kauai, Hawaii, December 2001, vol. I, 984-989.
D.
Comaniciu, V. Ramesh, P. Meer: The
variable bandwidth mean shift and data-driven scale selection .8th International Conference on Computer Vision, Vancouver, Canada, July 2001, vol. I, 438-445.
B.
Matei, B. Georgescu, P. Meer: A versatile
method for trifocal tensor estimation.8th International Conference on Computer Vision, Vancouver, Canada, July 2001, vol. II, 578-585.
K.
Xu, B. Georgescu, D. Comaniciu, P. Meer: Performance
analysis in content-based retrieval with textures.15th International Conference on Pattern Recognition. Track 4: Applications, Robotics, Systems and Architectures, Barcelona, Spain, September 2000, vol. IV, 275-278.
B.
Matei, P. Meer: Reduction of bias in maximum
likelihood ellipse fitting.15th International Conference on Pattern Recognition. Track 1: Computer Vision. and Image Analysis, Barcelona, Spain, September 2000, vol. III, 802-806.
B.
Matei, P. Meer: A general method for
errors-in-variables problems in computer vision .2000 IEEE Conference on Computer Vision and Pattern Recognition, Hilton Head, SC, June 2000, vol.II, 18-25
D.
Comaniciu, V. Ramesh, P. Meer: Real-time
tracking of non-rigid objects using mean shift.2000 IEEE Conference on Computer Vision and Pattern Recognition, Hilton Head, SC, June 2000, vol.II, 142-149.
BEST PAPER AWARD.
B.
Matei, P. Meer: Bootstrapping
errors-in-variables models.Vision Algorithms 99, Kerkyra, Greece, September 1999, 43-50.
D.
Comaniciu, P. Meer: Mean shift analysis and
applications.7th International Conference on Computer Vision, Kerkyra, Greece, September 1999, 1197-1203.
D.
Comaniciu, P. Meer, D. Tyler: Dissimilarity
computation through low rank corrections .IEEE Workshop on Content-based Access of Image and Video Libraries, Fort Collins, CO, June 1999, 50-54.
B.
Matei, P. Meer: Optimal rigid motion
estimation and performance evaluation with bootstrap.1999 IEEE Conference on Computer Vision and Pattern Recognition, Fort Collins, CO, June 1999, vol.I, 339-345.
BEST STUDENT PAPER AWARD.
R.
Lenz, P. Meer: Non-euclidean structure of the
spectral color space.EUROPTO: Conference on Polarization and Color Techniques in Industrial Inspection, Munich, Germany, June 1999, SPIE Proceedings, vol. 3826, E.A. Marszalec and E. Trucco (Eds.), 101-112.
D.
Comaniciu, P. Meer: Robust analysis of
feature spaces: Color image segmentation.1997 IEEE Conference on Computer Vision and Pattern Recognition, San Juan, Puerto Rico, June 1997, 750-755.
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O.
Tuzel, F. Porikli, P. Meer: Pedestrian Detection via Classification on Riemannian Manifolds.Accepted for publication in IEEE Trans. Pattern Anal. Machine Intell. , 30, 2008.
O. Tuzel, L. Yang, P. Meer, D.J. Foran: Classification
of hematologic malignancies using texton signatures.Pattern Analysis and Applications, 10, 277-290, 2007.
B.
Matei, P. Meer: Estimation of nonlinear
errors-in-variables models for computer vision applications.IEEE Trans. Pattern Anal. Machine Intell. , 28, 1537-1552, 2006.
L.
Yang, P. Meer, D.J. Foran: Unsupervised
segmentation based on robust estimation and color active contour models.
IEEE Trans. Information Technology in Biomedicine,9, 475-486, 2005.
Wenjin
Chen, P. Meer, B. Georgescu, Wei He, L. A. Goodell, D.J. Foran:
Image mining for investigative pathology using optimized feature extraction and
data fusion.Computer Methods and Programs in Biomedicine, 79, 59-72, 2005.
H.
Chen, P. Meer: Robust fusion of
uncertain information. IEEE Trans. Systems, Man, Cybernetics-Part B,35, 578-586, 2005.
B.
Georgescu, P. Meer: Point Matching Under Large
Image Deformations and Illumination Changes. IEEE Trans. Pattern Anal. Machine Intell.,26, 674-689, 2004.
D.
Comaniciu, V. Ramesh, P. Meer: Kernel-based
object tracking. IEEE Trans. Pattern Anal. Machine Intell., 25, 564-577, 2003.
D.
Comaniciu, P. Meer, D.E. Tyler: Dissimilarity
computation through low rank corrections. Pattern Recognition Letters, 24, 227-236, 2003.
D.
Comaniciu, P. Meer: Mean shift: A robust
approach toward feature space analysis.
IEEE Trans. Pattern Anal. Machine Intell., 24, 603-619, 2002.
P.
Meer, B. Georgescu: Edge detection with
embedded confidence.IEEE Trans. Pattern Anal. Machine Intell, 23, 1351-1365, 2001.
P.
Meer, C.V. Stewart, D.E. Tyler: Robust
computer vision: An interdisciplinary challenge.Computer Vision and Image Understanding , 78, 1-7, 2000.
Y.
Leedan, P. Meer: Heteroscedastic
regression in computer vision: Problems with bilinear constraint.International Journal on Computer Vision, 37, 127-150, 2000.
D.
Comaniciu, P. Meer, D. Foran: Image guided
decision support system for pathology.Machine Vision and Applications, 11, 213-224, 1999.
D.
Comaniciu, P. Meer: Distribution free
decomposition of multivariate data.(Invited paper) Pattern Analysis and Applications, 2, 22-30, 1999.
M.
Garza-Jinich, P. Meer, V. Medina: Robust
retrieval of 3D structures from image stacks.Medical Image Analysis, 3, 21-35, 1999.
R.
Lenz, P. Meer, M. Hauta-Kasari: Spectral based
illumination estimation and color correction.Color Research and Application, 24, 98-111, 1999.
K.-M.
Lee, P. Meer, R.-H. Park: Robust adaptive
segmentation of range images.IEEE Trans. Pattern Anal. Machine Intell, 20, 200-205, 1998.
P.
Meer, R. Lenz, S. Ramakrishna: Efficient
invariant representations.International Journal on Computer Vision, 26, 137-152, 1998.
K.
Cho, P. Meer, J. Cabrera: Performance
assessment through bootstrap.IEEE Trans. Pattern Anal. Machine Intell, 19, 1185-1198, 1997.
K.
Cho, P. Meer: Image segmentation from
consensus information.Computer Vision and Image Understanding, 68, 72-89, 1997.
D.
Foran, P. Meer, T. Papathomas, I. Marsic:
Compression guidelines for diagnostic telepathology.IEEE Trans. on Information Technology in Biomedicine, 1, 55-60, 1997.
J.
Cabrera, P. Meer: Unbiased estimation of
ellipses by bootstrapping.IEEE Trans. Pattern Anal. Machine Intell., 18, 752-756, 1996.
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P. Meer: Robust techniques for computer vision..Emerging Topics in Computer Vision , G. Medioni and S. B. Kang (Eds.), Prentice Hall, 2004
P.
Meer: From a robust hierarchy to a hierarchy of
robustness.Foundations of Image Analysis , L.S. Davis (Ed.), Kluwer, 2001, 323-347.
D.
Comaniciu, P. Meer: Cell image segmentation for
diagnostic pathology.Advanced Algorithmic Approaches to Medical Image Segmentation: State-Of-The-Art Applications in Cardiology, Neurology, Mammography and Pathology . J. Suri, S. Singh and K. Setarehdan (Eds.), Springer, 2001, 541-558.
B.
Matei, P. Meer: Bootstrapping
errors-in-variables models.Vision Algorithms: Theory and Practice, B. Triggs, A. Zisserman, R. Szeliski (Eds), Springer, 2000, 236-252.
P.
Meer, B. Matei, K. Cho: Input guided
performance evaluation.Performance Characterization in Computer Vision, R. Klette, H.S. Stiehl, M. Viergever, K.L. Vincken (Eds.), Kluwer, Amsterdam, 2000, 115-124.
B.
Matei, P. Meer, D. Tyler: Performance
assessment by resampling: Rigid motion estimators.Empirical Evaluation Techniques in Computer Vision, K.W. Bowyer, P.J. Phillips (Eds.), IEEE CS Press, Los Alamitos, CA, 1998, 72-95.
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