Invention Grant
- Patent Title: Combinatorial shape regression for face alignment in images
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Application No.: US15573631Application Date: 2015-06-26
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Publication No.: US10528839B2Publication Date: 2020-01-07
- Inventor: Anbang Yao , Yurong Chen
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: INTEL COPORATION
- Current Assignee: INTEL COPORATION
- Current Assignee Address: US CA Santa Clara
- Agency: Finch & Maloney PLLC
- International Application: PCT/CN2015/082543 WO 20150626
- International Announcement: WO2016/206114 WO 20161229
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/32 ; G06K9/62

Abstract:
Combinatorial shape regression is described as a technique for face alignment and facial landmark detection in images. As described stages of regression may be built for multiple ferns for a facial landmark detection system. In one example a regression is performed on a training set of images using face shapes, using facial component groups, and using individual face point pairs to learn shape increments for each respective image in the set of images. A fern is built based on this regression. Additional regressions are performed for building additional ferns. The ferns are then combined to build the facial landmark detection system.
Public/Granted literature
- US20180137383A1 COMBINATORIAL SHAPE REGRESSION FOR FACE ALIGNMENT IN IMAGES Public/Granted day:2018-05-17
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