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This paper presents a new method for facial expression modelling and recognition based on diffeomorphic image registration parameterised via stationary velocity fields in the log-Euclidean framework. The validation and comparison are done using different statistical shape models (SSM) built using the Point Distribution Model (PDM), velocity fields and deformation fields. The obtained results show that the facial expression representation based on stationary velocity fields can be successfully utilised in facial expression recognition, and this parameterisation produces a higher recognition rate than the facial expression representation based on deformation fields. © Springer Science+Business Media New York 2013.

Original publication

DOI

10.1007/978-1-4614-5076-4_12

Type

Conference paper

Publication Date

01/01/2013

Volume

30

Pages

179 - 194