Template-based matching using weight maps

Details Template-based matching using weight maps Template-based matching using weight maps

2011-04-11

arxiv.org/abs/1104.2059v1

Computer Science

Computer Vision and Pattern Recognition

Scientific paper

Template matching is one of the most prevalent pattern recognition methods worldwide. It has found uses in most visual concept detection fields. In this work, we investigate methods for improving template matching by adjusting the weights of different regions of the template. We compare several weight maps and test the methods using the FERET face test set in the context of human eye detection.

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