Title :
Illumination-robust face recognition using tensor-based active appearance model
Author :
Hyung-Soo Lee ; Daijin Kim
Author_Institution :
Biometrics Eng. Res. Center, POSTECH, Pohang
Abstract :
In this paper, we propose an illumination-robust face recognition using tensor-based active appearance model (AAM). First, we introduce the tensor-based AAM which generates variation specific AAM basis vectors for improving the fitting performance of AAM. Then, we propose a novel illumination transformation method which adopts ratio image concept into tensor model framework. Experimental results show that the proposed tensor-based AAM improves the performance of face recognition significantly.
Keywords :
face recognition; tensors; fitting performance; illumination transformation; illumination-robust face recognition; ratio image concept; tensor-based active appearance model; Active appearance model; Biometrics; Bismuth; Face recognition; Kernel; Lighting; Security; Shape; Tensile stress; Vectors;
Conference_Titel :
Automatic Face & Gesture Recognition, 2008. FG '08. 8th IEEE International Conference on
Conference_Location :
Amsterdam
Print_ISBN :
978-1-4244-2153-4
DOI :
10.1109/AFGR.2008.4813451