3D face recognition under isometric expression deformations

Javad Sovizi; Rahul Rai; Venkat Krovi

doi:10.1115/DETC201434449

3D face recognition under isometric expression deformations

Javad Sovizi, Rahul Rai, Venkat Krovi

Imaging Physics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, 3D face recognition under isometric deformation (induced by facial expressions) is considered. The main objective is to employ the shape descriptors that are invariant to (isometric) deformations to provide an efficient face recognition algorithm. Two methods of the correspondence are utilized for automatic landmark assignment to the query face. One is based on the conventional iterative closest point (ICP) method and another is based upon the geometrical/topological features of the human face. The shape descriptor is chosen to be the well-known geodesic distance (GD) measure. The recognition task is performed on SHREC08 database for both correspondence methods and the effect of feature (GD) vector size as well as landmark positions on the recognition accuracy were argued.

Original language	English (US)
Title of host publication	34th Computers and Information in Engineering Conference
Publisher	American Society of Mechanical Engineers (ASME)
ISBN (Electronic)	9780791846285
DOIs	https://doi.org/10.1115/DETC201434449
State	Published - 2014
Event	ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2014 - Buffalo, United States Duration: Aug 17 2014 → Aug 20 2014

Publication series

Name	Proceedings of the ASME Design Engineering Technical Conference
Volume	1A

Other

Other	ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2014
Country/Territory	United States
City	Buffalo
Period	8/17/14 → 8/20/14

ASJC Scopus subject areas

Modeling and Simulation
Mechanical Engineering
Computer Science Applications
Computer Graphics and Computer-Aided Design

Access to Document

10.1115/DETC201434449

Cite this

3D face recognition under isometric expression deformations. / Sovizi, Javad; Rai, Rahul; Krovi, Venkat.
34th Computers and Information in Engineering Conference. American Society of Mechanical Engineers (ASME), 2014. (Proceedings of the ASME Design Engineering Technical Conference; Vol. 1A).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Sovizi, J, Rai, R & Krovi, V 2014, 3D face recognition under isometric expression deformations. in 34th Computers and Information in Engineering Conference. Proceedings of the ASME Design Engineering Technical Conference, vol. 1A, American Society of Mechanical Engineers (ASME), ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE 2014, Buffalo, United States, 8/17/14. https://doi.org/10.1115/DETC201434449

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abstract = "In this paper, 3D face recognition under isometric deformation (induced by facial expressions) is considered. The main objective is to employ the shape descriptors that are invariant to (isometric) deformations to provide an efficient face recognition algorithm. Two methods of the correspondence are utilized for automatic landmark assignment to the query face. One is based on the conventional iterative closest point (ICP) method and another is based upon the geometrical/topological features of the human face. The shape descriptor is chosen to be the well-known geodesic distance (GD) measure. The recognition task is performed on SHREC08 database for both correspondence methods and the effect of feature (GD) vector size as well as landmark positions on the recognition accuracy were argued.",

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AB - In this paper, 3D face recognition under isometric deformation (induced by facial expressions) is considered. The main objective is to employ the shape descriptors that are invariant to (isometric) deformations to provide an efficient face recognition algorithm. Two methods of the correspondence are utilized for automatic landmark assignment to the query face. One is based on the conventional iterative closest point (ICP) method and another is based upon the geometrical/topological features of the human face. The shape descriptor is chosen to be the well-known geodesic distance (GD) measure. The recognition task is performed on SHREC08 database for both correspondence methods and the effect of feature (GD) vector size as well as landmark positions on the recognition accuracy were argued.

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3D face recognition under isometric expression deformations

Abstract

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