Research:

Heteroscedasticity
Robust Analysis
Bootstrap
Retrieval
Miscellaneous

Code

Publications

Theses

Tutorials

The central theme of our research on this subject is the Image Guided Decision Support system for diagnostic pathology, which integrates shape, area, and texture features extracted after color image segmentation. (See also topic: Robust analysis of visual data.) Efficient computation of similarity measures, comparative study of texture representations, some image compression related applications are also described.

Publications
Please use the link "Abstract" to see the publishing history of a paper.
The links "Paper" also contain the abstract.

O. Tuzel, F. Porikli, P. Meer: Pedestrian Detection via Classification on Riemannian Manifolds.
Abstract    Paper (pdf)

O. Tuzel, F. Porikli, P. Meer: Learning on Lie Groups for Invariant Detection and Tracking.
Abstract    Paper (pdf)

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.
Abstract     Paper (pdf)

Lin Yang, Wenjin Chen, P. Meer, G. Salaru, M.D. Feldman, D.J. Foran: High throughput analysis of breast cancer specimens on the grid.
Abstract     Paper (pdf)

Lin Yang, P. Meer, D.J. Foran: Multiple class segmentation using a unified framework over mean-shift patches.
Abstract     Paper (pdf)

O. Tuzel, F. Porikli, P. Meer: Human Detection via Classification on Riemannian Manifolds.
RUNNER-UP BEST PAPER AWARD 2007 Computer Vision and Pattern Recognition Conference.
Abstract    Paper (pdf)

O. Tuzel, L. Yang, P. Meer, D.J. Foran: Classification of hematologic malignancies using texton signatures.
Abstract    Paper (pdf)

O. Tuzel, F. Porikli, P. Meer: Region covariance: A fast descriptor for detection and classification.
Abstract    Paper (pdf)

Lin Yang, P. Meer, D.J. Foran: Unsupervised segmentation based on robust estimation and color active contour models.
Abstract    Paper (pdf)

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.
Abstract    Paper (pdf)

D. Comaniciu, P. Meer: Cell image segmentation in diagnostic pathology
Abstract    Paper (pdf)

D. Comaniciu, P. Meer and D. Tyler: Dissimilarity computation through low rank corrections.
Abstract    Paper (pdf)

K. Xu, B. Georgescu, D. Comaniciu and P. Meer: Performance analysis in content-based retrieval with textures.
Abstract   Paper (pdf)   Paper (ps.gz)

D. Comaniciu, P. Meer and D. Foran: Image guided decision support system for pathology.
Abstract   Paper (pdf)   Paper (ps.gz) Examples 1     2     3

D. Foran, P. Meer, T. Papathomas, I. Marsic: Compression guidelines for diagnostic telepathology.
Abstract   Paper (pdf)   Paper (ps.gz)

D. Comaniciu, P. Meer: Image segmentation and residual coding for very low bit rate compression.
Abstract   Paper (pdf)   Paper (ps.gz) Examples

D.J. Foran, D. Comaniciu, P. Meer, L.A. Goodell: Computer-assisted discrimination among lymphomas and leukemia using imunophenotyping, intelligent image repositories and telemicroscopy.
Paper (pdf)

D. Comaniciu, P. Meer: Cell image segmentation for diagnostic pathology.
Abstract   Paper (pdf)   Paper (ps.gz)

Related M.S. Thesis

Kun Xu: Texture representations for content-based retrieval.