Compact 3D model generation based on 2D views of human faces : application to face recognition

• Autorzy: Karpouzis K. , Votsis G. , Tsapatsoulis N. , Kollias S.
• Konferencja: Conference on Computer Graphics and Image Processing, GKPO' 98 (5 ; 18-22.05.1998 ; Borki, Poland)
• Języki publikacji: EN

Abstrakty

EN

A face recognition and synthetic-natural hybrid coding tool involving frontal and profile views is presented in this paper. The tool utilizes the above mentioned 2D images-upon which certian protuberant points are automatically detectrd- and adapts a generic 3D head model (polygon mesh) according to the predetermined information gained by the availble views. This mesh provides shape information which -combined with texture information- is important for the rebustness of a recognition system. the main advantage of the proposed approach is its ability to overcom constraints raised from arbitrary variations in scale, rotation and orientation, which are dominant deterioration factors in the identyfication task. Besides the face recognition aspect, applications which involve geometry transmistion, such as teleconferencing, can take advantage of the proposed algorithm's ability to parametrically describe a complex organic model, such as a human head. During the texture map creation process, issues related to the luminance differences and rotation varians between the avaible views, are successfully dealt with. Regarding the adaptation of the polygon topology of the 3D model, we apply a set of localized transformations, in order to preserve the continuity of the human head surface. Besides this, the problem of the minimum organic model representation required is addressed. The aspect under which this issue is verged upon, is thad of the solution of a trade-off problem between low computational complexity and high approximation quality.

Słowa kluczowe

EN

geometry compression; 3D face modeling; automated feature extraction

• Wydawca: Institute of Information Technology of the Warsaw University of Life Sciences – SGGW
• Czasopismo: Machine Graphics and Vision
• Rocznik: 1998
• Tom: Vol. 7, No. 1/2
• Strony: 75--85
• Opis fizyczny: Bibliogr. 13 poz.

Twórcy

autor

Karpouzis K.

autor

Votsis G.

autor

Tsapatsoulis N.

autor

Kollias S.

• Department of Electrical and Computer Engineering, National Technical University of Athens, Heroon Polytechniou 9, 157 73 Zagraphou, Greece