Maximum-likelihood template matching
- 7 November 2002
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 2, 52-57
- https://doi.org/10.1109/cvpr.2000.854735
Abstract
In image matching applications such as tracking and stereo matching, it is common to use the sum-of-squared- diflerences (SSD) measure to determine the best match for an image template. However, this measure is sensitive to outliers and is not robust to template variations. We de- scribe a robust measure and eficient search strategy for template matching with a binary or greyscale template us- ing a maximum-likelihood formulation. In addition to sub- pixel localization and uncertainty estimation, these tech- niques allow optimal feature selection based on minimizing the localization uncertainty. We examine the use of these techniques for object recognition, stereo matching, feature selection, and tracking.Keywords
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