Invention Grant
- Patent Title: Statistical facial feature extraction method
- Patent Title (中): 统计面部特征提取方法
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Application No.: US10720198Application Date: 2003-11-25
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Publication No.: US07372981B2Publication Date: 2008-05-13
- Inventor: Shang-Hong Lai , Jiang-Ge Chen , Yea-Shuan Huang
- Applicant: Shang-Hong Lai , Jiang-Ge Chen , Yea-Shuan Huang
- Applicant Address: TW Hsinchu
- Assignee: Industrial Technology Research Institute
- Current Assignee: Industrial Technology Research Institute
- Current Assignee Address: TW Hsinchu
- Agency: Bacon & Thomas, PLLC
- Priority: TW92109928A 20030428
- Main IPC: G06K9/00
- IPC: G06K9/00

Abstract:
A statistical facial feature extraction method is disclosed. In a training phase, N training face images are respectively labeled n feature points located in n different blocks to form N feature vectors. Next, a principal component analysis (PCA) technique is used to obtain a statistical face shape model after aligning each shape vector with a reference shape vector. In an executing phase, initial positions for desired facial features are firstly guessed according to the coordinates of the mean shape for aligned training face images obtained in the training phase, and k candidates are respectively labeled in n search ranges corresponding to above-mentioned initial positions to obtain kn different combinations of test shape vectors. Finally, coordinates of the test shape vector having the best similarity with the mean shape for aligned training face image and the statistical face shape model are assigned as facial features of the test face image.
Public/Granted literature
- US20040213454A1 Statistical facial feature extraction method Public/Granted day:2004-10-28
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