Presentation | 1996/1/18 Surface Curvature-Based Face Recognition using Spherical Correlation Masaki IKEDA, Hiromi T. TANAKA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Surface curvatures such as Gaussian, mean and principal curvatures are intrinsic surface properties and have played important roles in ccurved surface analysis. In this paper, we propose a face recognition method based on surface curvatures. The shape of a human face are analyzed using principal curvatures and their directions and are represented using the extended gaussian image. Then individual face is recognized by comparing with others using Fisher's spherical correlation. the method is implemented for face range images. Results show that shape information from surface curvatures provides vital cues in discriminating and identifying complex surface structures as human faces. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | 3D curvature / principal direction / face recognition / Extented Gaussian Image / spherical correlation |
Paper # | PRU95-194 |
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Committee | PRU |
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Conference Date | 1996/1/18(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Pattern Recognition and Understanding (PRU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Surface Curvature-Based Face Recognition using Spherical Correlation |
Sub Title (in English) | |
Keyword(1) | 3D curvature |
Keyword(2) | principal direction |
Keyword(3) | face recognition |
Keyword(4) | Extented Gaussian Image |
Keyword(5) | spherical correlation |
1st Author's Name | Masaki IKEDA |
1st Author's Affiliation | Computer Science Department,Ritsumeikan University() |
2nd Author's Name | Hiromi T. TANAKA |
2nd Author's Affiliation | Computer Science Department,Ritsumeikan University |
Date | 1996/1/18 |
Paper # | PRU95-194 |
Volume (vol) | vol.95 |
Number (no) | 469 |
Page | pp.pp.- |
#Pages | 8 |
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