Efficient Recognition of Facial Expression using Atlas Construction and Sparse Representation

Author(s):

Athira S Varma , MARIAN ENGINEERING COLLEGE; Hema S Mahesh, MARIAN ENGINEERING COLLEGE

Keywords:

Diffeomorphic Growth, Sprse Groupwise Registration, Topological Evolution

Abstract:

Facial expression recognition has many real world applications, which include human machine interaction, medical applications, and human psychology. If a set of query images are given, the exact expression type such as anger, disgust, happiness, fear, sorrow, or surprise is recognized. This facial expression recognition is formulated as a longitudinal groupwise registration. There are mainly two steps that are used which are: Atlas construction method and Sparse representation method. A diffeomorphic growth model describes the various facial feature movements. Sparse groupwise registration method suppresses the changes due to interfacial movements. Image appearance information in spatial domain and topological evolution information in temporal domain are used for recognition. This method can be evaluated in Cohn-Kanade database.

Other Details:

Manuscript Id	:	IJSTEV3I9145
Published in	:	Volume : 3, Issue : 9
Publication Date	:	01/04/2017
Page(s)	:	357-361

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