NDLI: Facial curves between keypoints for recognition of 3D faces with missing parts

Content Provider	IEEE Xplore Digital Library
Author	Berretti, S. del Bimbo, A. Pala, P.
Copyright Year	2011
Description	Author affiliation: University of Firenze, via S. Marta 3, 50139 Firenze, Italy (Berretti, S.; del Bimbo, A.; Pala, P.)
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 along facial curves connecting pairs of key-points. Face similarity is evaluated by comparing facial curves across inlier pairs of keypoints that match between probe and gallery scans. In doing so, facial curves of the gallery scans are associated with a saliency measure in order to distinguish curves that model characterizing traits of some subjects from curves that are frequently observed in the face of many different subjects. The recognition accuracy of the approach is experimented using the Face Recognition Grand Challenge v2.0 dataset.
Starting Page	46
Ending Page	51
File Size	920114
Page Count	6
File Format	PDF
ISBN	9781457705298
ISSN	21607516
e-ISBN	9781457705304
DOI	10.1109/CVPRW.2011.5981779
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accuracy Iterative closest point algorithm Databases Face recognition Detectors Three dimensional displays Probes
Content Type	Text
Resource Type	Article

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