Multimedia, Vision and Visualization (MVV) Group runs IEEE-sponsored workshop on Computer Vision

Professors John Oliensis, Elli Angelopoulou, George Kamberov, and Quynh Dinh of the Multimedia, Vision, and Visualization Group (MVV) in the Department of Computer Science are chairing an IEEE International workshop on "Beyond Multiview Geometry: Robust Estimation and Organization of Shapes from Multiple Cues". The workshop is a full day event held in conjunction with the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) in Minneapolis, Minnesota in June, 2007.

The focus of the workshop is on the next generation of 3D estimation techniques, moving beyond traditional geometry-based methods such as stereo and structure from motion with their inherent limitations. The talks will introduce new techniques, methodologies, and sensors targeted for a variety of reconstruction applications in several fields. For more details, visit the workshop website.

Professor Quynh Dinh will also be presenting a paper at the general CVPR conference entitled "A Variational Approach to the Evolution of Radial Basis Functions for Image Segmentation", co-authored by Greg Slabaugh and Gozde Unal of Siemens Corporate Research. This work focuses on solving image segmentation problems using differential equations to evolve a segmenting contour composed of radial basis functions.