Title :
A deforming method for model-based 3D individualized pace from photographs
Author :
Yaohui, Lu ; Baozong, Yuan
Author_Institution :
Inst. of Inf. Sci., Northern Jiaotong Univ., Beijing, China
Abstract :
This paper introduces common methods of constructing 3D individualized facial model, analyzes respective characteristic, and discusses a means for constructing a 3D individualized facial model from the front view and the side view of the face. The approach gets facial featured parameters based on a local maximum-curvature tracking (LMCT) algorithm, distorting generic facial model through a feature-parameter transformation method
Keywords :
computer graphics; edge detection; feature extraction; image reconstruction; photography; tracking; 3D individualized facial model; LMCT algorithm; computer graphics; deforming method; distorting generic facial model; edge detection; facial featured parameters; feature extraction; feature-parameter transformation method; image reconstruction; local maximum-curvature tracking algorithm; model-based 3D individualized pace; photographs; Application software; Biological system modeling; Computer graphics; Deformable models; Face detection; Humans; Image edge detection; Image reconstruction; Military computing; Telecommunication computing;
Conference_Titel :
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-5747-7
DOI :
10.1109/ICOSP.2000.891774
