公开(公告)号：US10818064B2

公开(公告)日：2020-10-27

申请号：US16327779

申请日：2016-09-21

Applicant: Intel Corporation

Inventor： Shandong Wang ,  Ming Lu ,  Anbang Yao ,  Yurong Chen

IPC: G06T13/40 ,  G06T17/00 ,  G06F3/01 ,  G06T15/04 ,  G06T15/10

Abstract: Techniques related to estimating accurate face shape and texture from an image having a representation of a human face are discussed. Such techniques may include determining shape parameters that optimize a linear spatial cost model based on 2D landmarks, 3D landmarks, and camera and pose parameters, determining texture parameters that optimize a linear texture estimation cost model, and refining the shape parameters by optimizing a nonlinear pixel intensity cost function.

公开(公告)号：US20190325203A1

公开(公告)日：2019-10-24

申请号：US16471106

申请日：2017-01-20

Applicant: INTEL CORPORATION

Inventor： Anbang Yao ,  Dongqi Cai ,  Ping Hu ,  Shandong Wang ,  Yurong Chen

IPC: G06K9/00 ,  G06N3/08 ,  G06N3/04 ,  G06N20/00 ,  G06K9/46

Abstract: An apparatus for dynamic emotion recognition in unconstrained scenarios is described herein. The apparatus comprises a controller to pre-process image data and a phase-convolution mechanism to build lower levels of a CNN such that the filters form pairs in phase. The apparatus also comprises a phase-residual mechanism configured to build middle layers of the CNN via plurality of residual functions and an inception-residual mechanism to build top layers of the CNN by introducing multi-scale feature extraction. Further, the apparatus comprises a fully connected mechanism to classify extracted features.