In this work, we propose and experiment an original solution to 3D face recognition that supports accurate face matching also in cases where just some parts of probe scans are available. In the proposed approach, distinguishing traits of the face are captured by first extracting keypoints of the 3D depth image and then measuring how the face depth changes in the keypoints neighborhood using local shape descriptors. Face similarity is evaluated by comparing local shape descriptors across inlier pairs of keypoints that match between probe and gallery scans. The recognition accuracy of the approach is experimented using the Face Recognition Grand Challenge v2.0 data set.

3D Partial Face Matching using Local Shape Descriptors / S. Berretti; A. Del Bimbo; P. Pala. - STAMPA. - (2011), pp. 65-71. ((Intervento presentato al convegno International Joint ACM Workshop on Human Gesture and Behavior Understanding tenutosi a Scottsdale, Arizona, USA nel 1 Dicembre 2011 [10.1145/2072572.2072591].

3D Partial Face Matching using Local Shape Descriptors

BERRETTI, STEFANO;DEL BIMBO, ALBERTO;PALA, PIETRO
2011

Abstract

In this work, we propose and experiment an original solution to 3D face recognition that supports accurate face matching also in cases where just some parts of probe scans are available. In the proposed approach, distinguishing traits of the face are captured by first extracting keypoints of the 3D depth image and then measuring how the face depth changes in the keypoints neighborhood using local shape descriptors. Face similarity is evaluated by comparing local shape descriptors across inlier pairs of keypoints that match between probe and gallery scans. The recognition accuracy of the approach is experimented using the Face Recognition Grand Challenge v2.0 data set.
Proceedings of the 2011 Joint ACM Workshop on Human Gesture and Behavior Understanding
International Joint ACM Workshop on Human Gesture and Behavior Understanding
Scottsdale, Arizona, USA
1 Dicembre 2011
S. Berretti; A. Del Bimbo; P. Pala
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2158/487466
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