Title :
AAM fitting using shape parameter distribution
Author :
Shiraishi, Youhei ; Fujie, Shinya ; Kobayashi, Tetsunori
Author_Institution :
Waseda Univ., Tokyo, Japan
Abstract :
A novel constraint using shape parameter distribution into the AAM fitting method is proposed. Active appearance models (AAMs) are some of the most popular facial models. AAM-based face tracking delivers accurate alignment results. However, non-face-like shapes can also be estimated by AAMs, unlike by the conventional AAM fitting method, which only minimizes the matching error of the image. This is one of the causes for face tracking performance degradation in AAMs. A constraint using the shape parameter distribution is added in order to solve this problem.
Keywords :
face recognition; image matching; AAM fitting method; active appearance model fitting method; face tracking performance degradation; image matching error minimization; nonface-like shape estimation; shape parameter distribution; Active appearance model; Face; Facial features; Shape; Solid modeling; Vectors; Videos; Active appearance models; Face tracking; Inverse compositional image alignment;
Conference_Titel :
Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European
Conference_Location :
Bucharest
Print_ISBN :
978-1-4673-1068-0
