We propose a fast texture-segmentation approach to the problem of 2D and 3D 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 2D delineation and fast 3D tracking.
Fast texture-based tracking and delineation using texture entropy
Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 ; 2 ; 1154-1160 Vol. 2
01.01.2005
1303658 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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