Methods and system for recognizing people with model-based face detection
First Claim
1. A method of finding a face in a binarized image by comparing the dot group of the binarized image with the dot group of a face model, the face model being subjected to multiple two-dimensional transforms in order to locate the face model in the binarized image, and the dot groups of the binarized image and the face model being compared on the basis of the Hausdorff spacing between the dots of the dot groups and a position of a face in a binarized image is found when a measure derived from the Hausdorff spacing fails to reach a limit value.
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Abstract
The invention relates to a face finding method and system in a binarized image by comparing the dot group of the binarized image with the dot group of a face model, wherein the dot groups of the binarized image and of the face model are compared on the basis of the Hausdorff spacing between the dots of the dot groups and a face is recognized in the binarized image when a measure derived from the Hausdorff spacing fails to reach a limit value.
25 Citations
21 Claims
- 1. A method of finding a face in a binarized image by comparing the dot group of the binarized image with the dot group of a face model, the face model being subjected to multiple two-dimensional transforms in order to locate the face model in the binarized image, and the dot groups of the binarized image and the face model being compared on the basis of the Hausdorff spacing between the dots of the dot groups and a position of a face in a binarized image is found when a measure derived from the Hausdorff spacing fails to reach a limit value.
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