DocumentCode :
2501206
Title :
A Local Directional Pattern Variance (LDPv) Based Face Descriptor for Human Facial Expression Recognition
Author :
Kabir, Hasanul ; Jabid, Taskeed ; Chae, Oksam
Author_Institution :
Dept. of Comput. Eng., Kyung Hee Univ., Yongin, South Korea
fYear :
2010
fDate :
Aug. 29 2010-Sept. 1 2010
Firstpage :
526
Lastpage :
532
Abstract :
Automatic facial expression recognition is a challenging problem in computer vision, and has gained significant importance in applications of human-computer interaction. This paper presents a new appearance-based feature descriptor, the Local Directional Pattern Variance (LDPv), to represent facial components for human expression recognition. In contrast with LDP, the proposed LDPv introduces the local variance of directional responses to encode the contrast information within the descriptor. Here, the LDPv representation characterizes both spatial structure and contrast information of each micro-patterns. Template matching and Support Vector Machine (SVM) classifier are used to classify the LDPv feature vector of different prototypic expression images. Experimental results using the Cohn-Kanade database show that the LDPv descriptor yields an improved recognition rate, as compared to existing appearance-based feature descriptors, such as the Gaborwavelet and Local Binary Pattern (LBP).
Keywords :
computer vision; face recognition; image classification; image matching; man-machine systems; support vector machines; wavelet transforms; Cohn-Kanade database; Gabor wavelet; computer vision; contrast information; face descriptor; human facial expression recognition; human-computer interaction; local binary pattern; local directional pattern variance; support vector machine classifier; template matching; Face; Face recognition; Feature extraction; Histograms; Image edge detection; Kernel; Support vector machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Video and Signal Based Surveillance (AVSS), 2010 Seventh IEEE International Conference on
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-8310-5
Type :
conf
DOI :
10.1109/AVSS.2010.9
Filename :
5597098
Link To Document :
بازگشت