ICIP 2006, Atlanta, GA

Slide Show

Atlanta Conv. & Vis. Bureau


My ICIP 2006 Schedule

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.

Paper Detail

Session:Visual Object/Event Detection, Segmentation, and Classification
Time:Wednesday, October 11, 14:20 - 17:00
Presentation: Poster
Topic: Image & Video Segmentation: Other
Authors: Luca Bertelli; University of California, Santa Barbara 
 Baris Sumengen; University of California, Santa Barbara 
 B. S. Manjunath; University of California, Santa Barbara 
Abstract: In this paper, we analyze the redundancy in calculating all pairs of geodesic distances on a rectangular grid. Fast marching method is an efficient way to estimate the geodesic distances from a point. But when calculated for all the points on the grid, this introduces certain redundancy. Our analysis shows that over 90% of the distances are actually recalculated. We propose a novel solution which exploits this redundancy to reduce the number of distances evaluated using the Fast Marching Method and enforces the symmetry of the distance matrix. Experimental results show the improved accuracy obtained with our implementation.