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Face Verification Using Elastic Graph Matching Based on Morphological Signal Decomposition by Anastasios Tefas; Constantine Kotropoulos; Ioannis Pitas is a Computer Science article available to read on EtoBox.

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In this paper a novel method for frontal face veriÿcation is proposed. It is based on the morphological signal decomposition, a procedure that is used to model a facial image region as a sum of components. During the procedure, partial sums of components create a sequence of reconstructed images which starts with a crude approximation of the facial region that recursively becomes ÿner. More speciÿcally, a feature vector is created at each node of a sparse grid superimposed on the facial area by concatenating the gray level values of the reconstructed images at the grid node position. When a candidate person claims the identity of a reference person, a variant of dynamic link matching, the so-called morphological signal decomposition-dynamic link architecture, is applied to yield a matching error between the reference grid and a variable grid that is built over the facial image region of the candidate person. Local coe cients are derived to weigh the contribution of each node to the total matching error according to the node discriminatory power. Moreover, an analysis of the discriminatory power of each level in morphological signal decomposition is undertaken to assess better the b

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Author

Anastasios Tefas; Constantine Kotropoulos; Ioannis Pitas

Publisher

Elsevier Science; Elsevier ; Elsevier BV (ISSN 0165-1684)

Published

2002

Language

EN

Field

Computer Science (Physical Sciences)