Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 2 Fast Texture-Based Tracking and Delineation Using Texture Entropy Beijing, China October 17-October 20 ISBN: 0-7695-2334-X
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICCV.2005.97
We propose a fast texture-segmentation approach to the problem of 2-D and 3-D model-based contour tracking, which is suitable for real-time or interactive applications. Our approach relies on detecting texture boundaries in the direction normal to the contour boundaries and on using a Hidden Markov model to link these boundary points in the other direction. The probabilities that appear in this computation closely relate to texture entropy and Kullback-Leibler divergence, a property we use to compute and update dynamic texture models. We demonstrate results both in the context of interactive 2-D delineation and fast 3-D tracking.
Citation:
Ali Shahrokni, Tom Drummond, Pascal Fua, "Fast Texture-Based Tracking and Delineation Using Texture Entropy," iccv, vol. 2, pp.1154-1160, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 2, 2005 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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