DocumentCode :
2179497
Title :
Research on the Technology of Extracting 3D Face Feature Points on Basis of Binocular Vision
Author :
Zhang Lei ; Gao Xianwei ; Zhao Cheng ; Dong Xiuze
Author_Institution :
Dept. of Electron. & Inf. Eng., Beijing Electron. Sci. & Technol. Inst., Beijing, China
fYear :
2009
fDate :
17-19 Oct. 2009
Firstpage :
1
Lastpage :
4
Abstract :
On basis of binocular stereo vision, the paper puts forward a method to acquire the 3D data information of human face feature points, that is, by using a nominal camera to shoot 3D image pair and the method with the combination of prior experience in local face feature and Canny edge detection, 15 feature points are respectively extracted from the planar image. Under the conditions of epipolar constraint, uniqueness constraint and order consistency, the left and right image pair is 3D matched, the parallax is calculated, and the 3D spatial data of the feature points is synthesized. The experimental results show that: the synthesized 3D data information of the feature points is in line with the actual situation; the relative error is less than 4%.
Keywords :
computer vision; edge detection; face recognition; feature extraction; image matching; stereo image processing; 3D data information; 3D face feature points extraction; 3D image pair; Canny edge detection; binocular stereo vision; epipolar constraint; image matching; order consistency; parallax; planar image extraction; uniqueness constraint; Cameras; Data acquisition; Data mining; Databases; Face detection; Face recognition; Feature extraction; Humans; Paper technology; Stereo vision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
Type :
conf
DOI :
10.1109/CISP.2009.5304983
Filename :
5304983
Link To Document :
بازگشت