Learning model for salient facial region detection

    公开(公告)号:US10579860B2

    公开(公告)日:2020-03-03

    申请号:US15449266

    申请日:2017-03-03

    Abstract: One embodiment provides a method comprising receiving a first input image and a second input image. Each input image comprises a facial image of an individual. For each input image, a first set of facial regions of the facial image is distinguished from a second set of facial regions of the facial image based on a learning based model. The first set of facial regions comprises age-invariant facial features, and the second set of facial regions comprises age-sensitive facial features. The method further comprises determining whether the first input image and the second input images comprise facial images of the same individual by performing face verification based on the first set of facial regions of each input image.

    LEARNING MODEL FOR SALIENT FACIAL REGION DETECTION

    公开(公告)号:US20170351905A1

    公开(公告)日:2017-12-07

    申请号:US15449266

    申请日:2017-03-03

    Abstract: One embodiment provides a method comprising receiving a first input image and a second input image. Each input image comprises a facial image of an individual. For each input image, a first set of facial regions of the facial image is distinguished from a second set of facial regions of the facial image based on a learning based model. The first set of facial regions comprises age-invariant facial features, and the second set of facial regions comprises age-sensitive facial features. The method further comprises determining whether the first input image and the second input images comprise facial images of the same individual by performing face verification based on the first set of facial regions of each input image.

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