公开(公告)号：US11048953B2

公开(公告)日：2021-06-29

申请号：US16641469

申请日：2017-12-01

Applicant: QUALCOMM Incorporated

Inventor： Xuan Zou ,  Ke-li Cheng ,  Michel Adib Sarkis ,  Matthew Fischler ,  Ning Bi ,  Yingyong Qi

IPC: G06K9/00 ,  G06T7/62 ,  G06T7/50 ,  G06K9/62 ,  G06T7/40

Abstract: A method performed by an electronic device is described. The method includes receiving an image. The image depicts a face. The method also includes detecting at least one facial landmark of the face in the image. The method further includes receiving a depth image of the face and determining at least one landmark depth by mapping the at least one facial landmark to the depth image. The method also includes determining a plurality of scales of depth image pixels based on the at least one landmark depth and determining a scale smoothness measure for each of the plurality of scales of depth image pixels. The method additionally includes determining facial liveness based on at least two of the scale smoothness measures. Determining the facial liveness may be based on a depth-adaptive smoothness threshold and/or may be based on a natural face size criterion.

公开(公告)号：US20210049391A1

公开(公告)日：2021-02-18

申请号：US16641469

申请日：2017-12-01

Applicant: QUALCOMM Incorporated

Inventor： Xuan Zou ,  Ke-li Cheng ,  Michel Adib Sarkis ,  Matthew Fischler ,  Ning Bi ,  Yingyong Qi

IPC: G06K9/00 ,  G06T7/50 ,  G06T7/62 ,  G06T7/40 ,  G06K9/62

Abstract: A method performed by an electronic device is described. The method includes receiving an image. The image depicts a face. The method also includes detecting at least one facial landmark of the face in the image. The method further includes receiving a depth image of the face and determining at least one landmark depth by mapping the at least one facial landmark to the depth image. The method also includes determining a plurality of scales of depth image pixels based on the at least one landmark depth and determining a scale smoothness measure for each of the plurality of scales of depth image pixels. The method additionally includes determining facial liveness based on at least two of the scale smoothness measures. Determining the facial liveness may be based on a depth-adaptive smoothness threshold and/or may be based on a natural face size criterion.