FACIAL KEY POINT MARKING METHOD

WIPO Patent Application WO/2017/049677

A1

The present invention relates to the field of computer vision, and relates in particular to a facial key point marking method. The facial key point marking method comprises two processes, respectively a training process and a using process, the training process and the using process both comprising rigid body evolution and non-rigid body evolution, the rigid body evolution and the non-rigid body evolution being capable of performing multiple iterations. The method comprises: step S1: eliminating an affine conversion difference between an initial template and real coordinates via the rigid body evolution of the training process; step S2: performing individual adjustment on each facial key point within the initial template via the non-rigid body evolution of the training process, so as to increase the positioning accuracy of the facial key points; step S3: via the rigid body evolution of the using process, performing facial key point prediction according to a linear regression model, and calculating new positions of the facial key points; step S4: in the non-rigid body evolution of the using process, adjusting the coordinates of the facial key points according to the new positions, and obtaining a prediction result.

LI XUAN (CN)
ZHOU JIAN (CN)
XU YIDAN (CN)
LONG XUEJUN (CN)
LU HONGWEI (CN)
CHAO ZHICHAO (CN)

PCT/CN2015/091886

March 30, 2017

November 09, 2015

Click for automatic bibliography generation  

CHENGDU TOPPLUSVISION TECH CO LTD (CN)

G06K9/00; G06K9/46

CN104715227A	2015-06-17
CN104598936A	2015-05-06
CN104268591A	2015-01-07
US7903883B2	2011-03-08

GUO, RUIXIONG ET AL.: "Automatic Localization of Facial Key-Points for 3D Face Modeling", JOURNAL OF COMPUTER APPLICATIONS, vol. 30, no. 10, 31 October 2010 (2010-10-31)

SHANGHAI SHENXIN LAW FIRM (CN)

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