Samuel Dambreville

发表

Comparative Analysis of Kernel Methods for Statistical Shape Learning

Yogesh Rathi, Allen R. Tannenbaum, Samuel Dambreville, 2006, CVAMIA.

Statistical shape learning for 3D tracking

Allen R. Tannenbaum, Shawn Lankton, Samuel Dambreville, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

TAC: Thresholding active contours

Anthony J. Yezzi, Allen R. Tannenbaum, Shawn Lankton, 2008, 2008 15th IEEE International Conference on Image Processing.

Particle Filtering with Dynamic Shape Priors

Yogesh Rathi, Allen R. Tannenbaum, Samuel Dambreville, 2006, ICIAR.

Non-rigid 2D-3D pose estimation and 2D image segmentation

Anthony Yezzi, Samuel Dambreville, Allen Tannenbaum, 2009, CVPR.

A robust aim point tracking algorithm for 3-D laser radar imagery

Scot Shaw, Shawn Lankton, Allen Tannenbaum, 2011, Proceedings of the 2011 American Control Conference.

Shape-Based Approach to Robust Image Segmentation using Kernel PCA

Yogesh Rathi, Allen R. Tannenbaum, Samuel Dambreville, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

A Nonrigid Kernel-Based Framework for 2D-3D Pose Estimation and 2D Image Segmentation

Anthony J. Yezzi, Allen R. Tannenbaum, Samuel Dambreville, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A Shape-Based Approach to Robust Image Segmentation

Yogesh Rathi, Allen R. Tannenbaum, Samuel Dambreville, 2006, ICIAR.

Robust 3D Pose Estimation and Efficient 2D Region-Based Segmentation from a 3D Shape Prior

Anthony J. Yezzi, Allen R. Tannenbaum, Samuel Dambreville, 2008, ECCV.

Nonlinear shape prior from kernel space for geometric active contours

Yogesh Rathi, Allen Tannenbaum, Samuel Dambreville, 2006, Electronic Imaging.

Localized statistics for DW-MRI fiber bundle segmentation

James G. Malcolm, Allen R. Tannenbaum, Shawn Lankton, 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

A Variational Framework Combining Level-sets and Thresholding

Anthony J. Yezzi, Marc Niethammer, Allen R. Tannenbaum, 2007, BMVC.

Segmenting images analytically in shape space

James J. Levitt, Martha Elizabeth Shenton, Marc Niethammer, 2008, SPIE Medical Imaging.

Point Set Registration via Particle Filtering and Stochastic Dynamics

Allen R. Tannenbaum, Samuel Dambreville, Romeil Sandhu, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Statistical shape analysis using kernel PCA

Allen Tannenbaum, Yogesh Rathi, Samuel Dambreville, 2006, Electronic Imaging.

A Geometric Approach to Joint 2D Region-Based Segmentation and 3D Pose Estimation Using a 3D Shape Prior

Anthony J. Yezzi, Allen R. Tannenbaum, Samuel Dambreville, 2010, SIAM J. Imaging Sci..

A variational segmentation framework using active contours and thresholding

Anthony J. Yezzi, Marc Niethammer, Allen R. Tannenbaum, 2007, SIP.

Non-rigid 2D-3D pose estimation and 2D image segmentation

Anthony J. Yezzi, Allen R. Tannenbaum, Samuel Dambreville, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Statistical and geometric methods for shape-driven segmentation and tracking

Samuel Dambreville, Samuel Dambreville, 2008 .

Particle filtering for registration of 2D and 3D point sets with stochastic dynamics

Allen R. Tannenbaum, Samuel Dambreville, Romeil Sandhu, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

A Framework for Image Segmentation Using Shape Models and Kernel Space Shape Priors

Yogesh Rathi, Allen R. Tannenbaum, Samuel Dambreville, 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.