Title :
3D face recognition method by best fitting polynomials
Author_Institution :
Inst. of Inf. Technol., Baku, Azerbaijan
Abstract :
A 3D face recognition method is proposed. For feature extraction, 3D point set is divided into number of slices to be projected on the central planes parallel to the slices. Feature vectors are formed by approximating best fitting polynomials for data on the planes. A multimodal approach in the score level and corresponding distance metrics for both unimodal and multimodal cases are presented.
Keywords :
face recognition; feature extraction; polynomial approximation; 3D face recognition method; 3D point set; best fitting polynomial approximation; distance metrics; feature extraction; feature vector; multimodal approach; Biological system modeling; Computational modeling; Face recognition; Image recognition; Polynomials; Shape; Three dimensional displays; 3D face recognition; best fitting curves; feature extraction; fusion; multimodal;
Conference_Titel :
Application of Information and Communication Technologies (AICT), 2011 5th International Conference on
Conference_Location :
Baku
Print_ISBN :
978-1-61284-831-0
DOI :
10.1109/ICAICT.2011.6111029
