Efficient propagation for face annotation

Image analysis – Applications – Personnel identification

Reexamination Certificate

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C707S793000, C382S305000

Reexamination Certificate

active

07403642

ABSTRACT:
Systems, engines, user interfaces, and methods allow a user to select a group of images, such as digital photographs, and assign to the group of images the name of a person who is represented in each of the images. The name is automatically propagated to the face of the person, each time the person's face occurs in an image. In one implementation, names and associations are shared between a browsing mode for viewing multiple images at once and a viewer mode, for viewing one image at a time. The browsing mode can provide a menu of candidate names for annotating a face in a single image of the viewer mode. Likewise, the viewer mode can provide annotated face information to the browser mode for facilitating name propagation. Identification of a person's face in multiple images can be accomplished not only by finding similarities in facial features but also by finding similarities in contextual features near the face in different images.

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Cohen, et al., “Learning Bayesian Network Classifiers for Facial Expression Recognition Using both Labeled and Unlabeled Data”, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'03), Jun. 20, 2003, IEEE, 2003, pp. 1-7.
Moghaddam, et al., “Bayesian Face Recognition with Deformable Image Models”, IEEE, 2001, pp. 26-34.

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