Fast 3D face recognition based on normal map

This paper presents a 3D face recognition method aimed to biometric applications. The proposed method compares any two faces represented as 3D polygonal surfaces through their corresponding normal map, a bidimensional array which stores local curvature (mesh normals) as the pixel's RGB componen...

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Bibliographic Details
Published inIEEE International Conference on Image Processing 2005 Vol. 2; pp. II - 946
Main Authors Abate, A.F., Nappi, M., Ricciardi, S., Sabatino, G.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2005
Subjects
3D face recognition
Biometrics
biometry
Color
Face recognition
Facial features
Feature extraction
Geometry
normal map
Pixel
Principal component analysis
Robustness
Shape
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Summary:This paper presents a 3D face recognition method aimed to biometric applications. The proposed method compares any two faces represented as 3D polygonal surfaces through their corresponding normal map, a bidimensional array which stores local curvature (mesh normals) as the pixel's RGB components of a color image. The recognition approach, based on the computation of a difference map resulting from the comparison of normal maps, is simple yet fast and accurate. A weighting mask, automatically generated for each subject using a set of expression variations, improves the robustness to a broad range of facial expressions. First results show the effectiveness of the method on a database of 3D faces featuring different genders, ages and expressions.
ISBN:9780780391345
0780391349
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2005.1530213