Title :
Fast and robust 3D face matching approach
Author :
Pan, Ye ; Dai, Bo ; Peng, Qicong
Author_Institution :
Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
We present a novel three-dimensional (3D) face matching approach in this paper. First, 3D facial scans are segmented and four feature points of each face are detected for rough alignment the by Absolute Orientation method. Then a modified Iterative Closest Point (ICP) algorithm is employed for range image registration. A Simulated Annealing (SA) based approach with the Surface Interpenetration Measure (SIM), as similarity measure, is used for final matching. Our experimental results on the Face Recognition Grand Challenge (FRGC) v2 database show that the proposed method could achieve 99% rank one recognition performance at 0.001 False Acceptance Rate (FAR) on all neutral expression with noisy data.
Keywords :
computer vision; face recognition; image matching; image registration; image segmentation; 3D facial scans; absolute orientation method; face recognition grand challenge v2 database; false acceptance rate; image registration; iterative closest point; rough alignment; simulated annealing; surface interpenetration measure; three-dimensional face matching; Face detection; Face recognition; Image registration; Image segmentation; Iterative algorithms; Iterative closest point algorithm; Robustness; Rough surfaces; Simulated annealing; Surface roughness; 3D Face Matching; Absolute Orientation; FRGC; ICP; Simulated Annealing; Surface Interpenetration Measure;
Conference_Titel :
Image Analysis and Signal Processing (IASP), 2010 International Conference on
Conference_Location :
Zhejiang
Print_ISBN :
978-1-4244-5554-6
Electronic_ISBN :
978-1-4244-5556-0
DOI :
10.1109/IASP.2010.5476132
