Title :
Robustness and expression independence in 3D face recognition
Author :
Miao, Shun ; Krim, Hamid
Author_Institution :
ECE Dept., North Carolina State Univ., Raleigh, NC, USA
Abstract :
We describe a robust method for 3D face recognition under variance of facial expressions. The method utilizes the identical areas on two facial images as the measurement of distance. To segment the identical area, partial shape matching is performed using closest point registration and level set method. The segmentation problem is formalized into an Eikonal equation, which can be efficiently solved by fast marching method. The presented 3D face recognition method shows a very promising recognition rate.
Keywords :
face recognition; image matching; image registration; image segmentation; partial differential equations; 3D face recognition; Eikonal equation; closest point registration; facial expression; fast marching method; level set method; partial shape matching; segmentation problem; Equations; Face; Face recognition; Iterative closest point algorithm; Level set; Nose; Three dimensional displays; Face Recognition; Fast Maching Algorithm; Iterative Closest Point (ICP); Level Set Method;
Conference_Titel :
Signal Processing Systems (SiPS), 2011 IEEE Workshop on
Conference_Location :
Beirut
Print_ISBN :
978-1-4577-1920-2
DOI :
10.1109/SiPS.2011.6088991