Paper
25 August 2004 Face recognition using 3D facial shape and color map information: comparison and combination
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Abstract
In this paper, we investigate the use of 3D surface geometry for face recognition and compare it to one based on color map information. The 3D surface and color map data are from the CAESAR anthropometric database. We find that the recognition performance is not very different between 3D surface and color map information using a principal component analysis algorithm. We also discuss the different techniques for the combination of the 3D surface and color map information for multi-modal recognition by using different fusion approaches and show that there is significant improvement in results. The effectiveness of various techniques is compared and evaluated on a dataset with 200 subjects in two different positions.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Afzal Godil, Sandy Ressler, and Patrick Grother "Face recognition using 3D facial shape and color map information: comparison and combination", Proc. SPIE 5404, Biometric Technology for Human Identification, (25 August 2004); https://doi.org/10.1117/12.540754
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Cited by 43 scholarly publications.
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KEYWORDS
Image fusion

Facial recognition systems

3D image processing

Databases

Principal component analysis

Biometrics

Mahalanobis distance

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