Three-dimensional face recognition using geometric model

Chenghua Xu; Yunhong Wang; Tieniu Tan; Long Quan

doi:10.1117/12.541822

Three-dimensional face recognition using geometric model

Chenghua Xu^*
, Yunhong Wang
, Tieniu Tan
, Long Quan

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

4 Scopus citations

Abstract

This paper proposes the automatic face recognition method based on the face representation with a 3D mesh, which precisely reflects the geometric features of the specific subject. The mesh model is generated by using nonlinear subdivision scheme and fitting with the 3D point cloud, and describes the deep information of human faces accurately. The effective method for matching two mesh models is developed to decide whether they are from the same person. We test our proposed algorithm on 3D_RMA database, and experimental results and comparisons with others' work show the effectiveness and competitive performance of the proposed method.

Original language	English
Pages (from-to)	304-315
Number of pages	12
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	5404
DOIs	https://doi.org/10.1117/12.541822
State	Published - 2004
Externally published	Yes
Event	Biometric Technology for Human Identification - Orlando, FL, United States Duration: 12 Apr 2004 → 13 Apr 2004

Keywords

3d face model
3d face recognition
Surface comparison

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10.1117/12.541822

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title = "Three-dimensional face recognition using geometric model",

abstract = "This paper proposes the automatic face recognition method based on the face representation with a 3D mesh, which precisely reflects the geometric features of the specific subject. The mesh model is generated by using nonlinear subdivision scheme and fitting with the 3D point cloud, and describes the deep information of human faces accurately. The effective method for matching two mesh models is developed to decide whether they are from the same person. We test our proposed algorithm on 3D\_RMA database, and experimental results and comparisons with others' work show the effectiveness and competitive performance of the proposed method.",

keywords = "3d face model, 3d face recognition, Surface comparison",

author = "Chenghua Xu and Yunhong Wang and Tieniu Tan and Long Quan",

year = "2004",

doi = "10.1117/12.541822",

language = "英语",

volume = "5404",

pages = "304--315",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

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note = "Biometric Technology for Human Identification ; Conference date: 12-04-2004 Through 13-04-2004",

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AU - Xu, Chenghua

AU - Wang, Yunhong

AU - Tan, Tieniu

AU - Quan, Long

PY - 2004

Y1 - 2004

N2 - This paper proposes the automatic face recognition method based on the face representation with a 3D mesh, which precisely reflects the geometric features of the specific subject. The mesh model is generated by using nonlinear subdivision scheme and fitting with the 3D point cloud, and describes the deep information of human faces accurately. The effective method for matching two mesh models is developed to decide whether they are from the same person. We test our proposed algorithm on 3D_RMA database, and experimental results and comparisons with others' work show the effectiveness and competitive performance of the proposed method.

AB - This paper proposes the automatic face recognition method based on the face representation with a 3D mesh, which precisely reflects the geometric features of the specific subject. The mesh model is generated by using nonlinear subdivision scheme and fitting with the 3D point cloud, and describes the deep information of human faces accurately. The effective method for matching two mesh models is developed to decide whether they are from the same person. We test our proposed algorithm on 3D_RMA database, and experimental results and comparisons with others' work show the effectiveness and competitive performance of the proposed method.

KW - 3d face model

KW - 3d face recognition

KW - Surface comparison

UR - https://www.scopus.com/pages/publications/8844250906

U2 - 10.1117/12.541822

DO - 10.1117/12.541822

M3 - 会议文章

AN - SCOPUS:8844250906

SN - 0277-786X

VL - 5404

SP - 304

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JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Biometric Technology for Human Identification

Y2 - 12 April 2004 through 13 April 2004

ER -

Three-dimensional face recognition using geometric model

Abstract

Keywords

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