NDLI: A structured template based 3D face recognition approach

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A structured template based 3D face recognition approach

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A structured template based 3D face recognition approach

Content Provider	ACM Digital Library
Author	Lei, Yinjie El-Sallam, Amar A. Bennamoun, Mohammed
Abstract	There are many challenges to achieve 2D face recognition including illumination, expression, and pose variations. However, the human face provides not only 2D texture but also rich 3D shape information. In this work, we present a novel 3D face recognition approach based on a new proposed concept termed structured template in analogy with the structured light approach. Our approach excludes the non-rigid facial region which is most affected by facial expressions. We first apply the structured template on the facial range image to extract 20 levels of stripes and convert them to pointclouds. Then we can represent a 3D facial scan by 20 levels of 3D open curves. As a result we can match the shape of two facial scans by matching the shape of their corresponding open curves. An open curve analysis algorithm is applied to calculate the geodesic distance between a pair of open curves extracted from different faces. The geodesic distance is then used as a similarity measure and two facial scans can be matched using the sum of all levels of their corresponding geodesic distance. Experiments are performed on the FRGC v2.0 dataset which demonstrate excellent performance.
Starting Page	61
Ending Page	66
Page Count	6
File Format	PDF
ISBN	9781450314732
DOI	10.1145/2425836.2425850
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-11-26
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	3d biometrics 3d face recognition Structured light Geodesic distance 3d open curve
Content Type	Text
Resource Type	Article

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