Minerva homepage: Samuel Dambreville



Electrical and Computer Engineering

Phone: 404-385-5062

Location: Withaker BME building, 4th floor

Email: Samuel.Dambreville@bme.gatech.edu

Samuel Dambreville

Alumnus

Areas of interest

  • Kalman Filtering and Particle Filtering (application to Tracking and flight in formation of multiple UAVs)
  • Computer Vision and Systems control

Education Background

Curriculum-Vitae





Articles in journal or book chapters
  1. R. Sandhu, S. Dambreville, and A. Tannenbaum. Point Set Registration Via Particle Filtering and Stochastic Dynamics. IEEE Transactions on Pattern Analysis and Machine Intelligence (Accepted - In Print), 2009. Note: Accepted - In Print. [PDF ]


  2. R. Sandhu, S. Dambreville, Anthony Yezzi, and A. Tannenbaum. A Kernel Based Framework for Non-Rigid 2D3D Pose Estimation and 2D Image Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence (In Submission, Date Submitted: September 2009), 2009. Note: In Submission.


  3. S. Dambreville, Y. Rathi, and A. Tannenbaum. A framework for Image Segmentation using Shape Models and Kernel Space Shape Priors. submitted to Tran. Pattern Analysis and Machine Intelligence, 2007.


Conference articles
  1. R. Sandhu, S. Lankton, S. Dambreville, and A. Tannenbaum. Statistical Shape Learning for 3D Tracking. In Proceedings of Conference on Decision and Control, pages 1--8, 2009. Note: In submission.


  2. S. Dambreville, A.Yezzi, S. Lankton, and A. Tannenbaum. TAC: Thresholding Active Contours. In Proc. IEEE Int. Conf. on Image Processing (ICIP), 2008. [PDF ]


  3. S. Dambreville, R. Sandhu, A.Yezzi, and A. Tannenbaum. Robust 3D Pose Estimation and Efficient 2D Region-Based Segmentation from a 3D Shape Prior. In Proc. European Conf. on Computer Vision (ECCV), 2008. Note: In Submission.


  4. S. Lankton, J. Melonakos, J. Malcolm, S. Dambreville, and A. Tannenbaum. Localized Statistics for DW-MRI Fiber Bundle Segmentation. In Computer Vision and Pattern Recognition (CVPR) Workshops: Mathematical Methods in Biomedical Image Analysis (MMBIA), pages 1-8, 2008. [PDF ]


  5. Y. Rathi, S. Dambreville, M. Niethammer, J. Malcolm, J. Levitt, M. Shenton, and A. Tannenbaum. Segmenting images analytically in shape space. In SPIE Medical Imaging, 2008. [PDF ]


  6. R. Sandhu, S. Dambreville, and A. Tannenbaum. Particle Filtering for Registration of 2D and 3D Point Sets with Stochastic Dynamics. In IEEE Conference on Computer Vision and Pattern Recognition, 2008. Note: Accepted for Publication. [PDF ]


  7. S. Dambreville, A. Yezzi, M. Niethammer, and A. Tannenbaum. A variational framework combining level-sets and thresholding.. In BMVC, 2007. [PDF ]


  8. S. Dambreville, A. Yezzi, M. Niethammer, and A. Tannenbaum. A variational segmentation framework using active contours and thresholding.. In Int. Conf. on Signal and Image Processing (SIP), 2007. [PDF ]


  9. S. Dambreville, Y. Rathi, and A. Tannenbaum. A Shape-Based Approach to Robust Image Segmentation. In Intl. Conference on Image Analysis and Recognition, 2006. [PDF ]


  10. S. Dambreville, Y. Rathi, and A. Tannenbaum. Nonlinear shape prior from Kernel space for geometric active contours. In IS&T/SPIE Symposium on Electronic Imaging, 2006. [PDF ]


  11. S. Dambreville, Y. Rathi, and A. Tannenbaum. Shape-Based Approach to Robust Image Segmentation using Kernel PCA. In IEEE Conference on Computer Vision and Pattern Recognition, 2006. Note: Accepted for publication. [PDF ]


  12. S. Dambreville, Y. Rathi, and A. Tannenbaum. Tracking Deformable Objects with Unscented Kalman Filtering and Geometric Active Contours. In American Control Conference, 2006. Note: Hugo Schuck Award for Best Paper (theory). [PDF ]


  13. Y. Rathi, S. Dambreville, and A. Tannenbaum. Comparative Analysis of Kernel Methods for Statistical Shape Learning. In CVAMIA held in conjunction with ECCV, 2006. [PDF ]


  14. Y. Rathi, S. Dambreville, and A. Tannenbaum. Particle Filtering with Dynamic Shape Prior. In Intl. Conference on Image Analysis and Recognition, 2006. [PDF ]


  15. Y. Rathi, S. Dambreville, and A. Tannenbaum. Statistical shape analysis using kernel PCA. In IS&T/SPIE Symposium on Electronic Imaging, 2006. [PDF ]