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公开(公告)号：US20190005313A1
公开(公告)日：2019-01-03
申请号：US15639086
申请日：2017-06-30
Applicant: Google Inc.
Inventor： Raviteja Vemulapalli , Aseem Agarwala
Abstract: The present disclosure provides systems and methods that include or otherwise leverage use of a facial expression model that is configured to provide a facial expression embedding. In particular, the facial expression model can receive an input image that depicts a face and, in response, provide a facial expression embedding that encodes information descriptive of a facial expression made by the face depicted in the input image. As an example, the facial expression model can be or include a neural network such as a convolutional neural network. The present disclosure also provides a novel and unique triplet training scheme which does not rely upon designation of a particular image as an anchor or reference image.
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公开(公告)号：US10565434B2
公开(公告)日：2020-02-18
申请号：US15639086
申请日：2017-06-30
Applicant: Google Inc.
Inventor： Raviteja Vemulapalli , Aseem Agarwala
Abstract: The present disclosure provides systems and methods that include or otherwise leverage use of a facial expression model that is configured to provide a facial expression embedding. In particular, the facial expression model can receive an input image that depicts a face and, in response, provide a facial expression embedding that encodes information descriptive of a facial expression made by the face depicted in the input image. As an example, the facial expression model can be or include a neural network such as a convolutional neural network. The present disclosure also provides a novel and unique triplet training scheme which does not rely upon designation of a particular image as an anchor or reference image.
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