公开(公告)号：US20180181802A1

公开(公告)日：2018-06-28

申请号：US15392597

申请日：2016-12-28

Applicant: Adobe Systems Incorporated

Inventor： ZHILI CHEN ,  DUYGU CEYLAN ,  BYUNGMOON KIM ,  LIWEN HU ,  JIMEI YANG

IPC: G06K9/00 ,  G06T7/73

CPC classification number: G06K9/00369 ,  G06K9/00201 ,  G06K9/4628 ,  G06K9/6267 ,  G06T7/50 ,  G06T7/73 ,  G06T2207/10012 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: Certain embodiments involve recognizing combinations of body shape, pose, and clothing in three-dimensional input images. For example, synthetic training images are generated based on user inputs. These synthetic training images depict different training figures with respective combinations of a body pose, a body shape, and a clothing item. A machine learning algorithm is trained to recognize the pose-shape-clothing combinations in the synthetic training images and to generate feature descriptors describing the pose-shape-clothing combinations. The trained machine learning algorithm is outputted for use by an image manipulation application. In one example, an image manipulation application uses a feature descriptor, which is generated by the machine learning algorithm, to match an input figure in an input image to an example image based on a correspondence between a pose-shape-clothing combination of the input figure and a pose-shape-clothing combination of an example figure in the example image.