Liwen W Hu

US Patent:

20180181802, Jun 28, 2018

Filed:

Dec 28, 2016

Appl. No.:

15/392597

Inventors:

- San Jose CA, US
DUYGU CEYLAN - Mountain View CA, US
BYUNGMOON KIM - Sunnyvale CA, US
LIWEN HU - Los Angeles CA, US
JIMEI YANG - Santa Clara CA, US

International Classification:

G06K 9/00
G06T 7/73

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.