Pose and illumination invariant 2D to 3D facial recognition system

Ukil Yang; Hyoungchul Shin; Kwanghoon Sohn

doi:10.1109/ICIEA.2008.4582894

Pose and illumination invariant 2D to 3D facial recognition system

Ukil Yang, Hyoungchul Shin, Kwanghoon Sohn

Department of Electrical and Electronic Engineering

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

2 Citations (Scopus)

Abstract

This paper proposes a pose and illumination invariant face recognition method based on a 2D to 3D facial recognition system which uses two dimensional (2D) image as an input and three dimensional (3D) data as a database. To improve the performance of a facial recognition system, we reorganize the framework of a conventional recognition system into more suitable framework for a 2D to 3D facial recognition system. 2D to 3D pose and illumination estimation algorithm is proposed based on a learning algorithm using multilayer perceptron (MLP). The proposed method estimates both pose and illumination factors of an input image in real-time, and compensates for a database in order to overcome the problems of pose and illumination without any occlusion occurred by insufficient information. To evaluate the performance, we performed both the accuracy tests of pose and illumination estimation and the recognition tests of 2D to 3D facial recognition system with a face database containing both two and three dimensional data.

Original language	English
Title of host publication	2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008
Pages	2121-2126
Number of pages	6
DOIs	https://doi.org/10.1109/ICIEA.2008.4582894
Publication status	Published - 2008
Event	2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008 - Singapore, Singapore Duration: 2008 Jun 3 → 2008 Jun 5

Publication series

Name	2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008

Other

Other	2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008
Country/Territory	Singapore
City	Singapore
Period	08/6/3 → 08/6/5

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering
Industrial and Manufacturing Engineering

Access to Document

10.1109/ICIEA.2008.4582894

Cite this

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title = "Pose and illumination invariant 2D to 3D facial recognition system",

abstract = "This paper proposes a pose and illumination invariant face recognition method based on a 2D to 3D facial recognition system which uses two dimensional (2D) image as an input and three dimensional (3D) data as a database. To improve the performance of a facial recognition system, we reorganize the framework of a conventional recognition system into more suitable framework for a 2D to 3D facial recognition system. 2D to 3D pose and illumination estimation algorithm is proposed based on a learning algorithm using multilayer perceptron (MLP). The proposed method estimates both pose and illumination factors of an input image in real-time, and compensates for a database in order to overcome the problems of pose and illumination without any occlusion occurred by insufficient information. To evaluate the performance, we performed both the accuracy tests of pose and illumination estimation and the recognition tests of 2D to 3D facial recognition system with a face database containing both two and three dimensional data.",

author = "Ukil Yang and Hyoungchul Shin and Kwanghoon Sohn",

year = "2008",

doi = "10.1109/ICIEA.2008.4582894",

language = "English",

isbn = "9781424417186",

series = "2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008",

pages = "2121--2126",

booktitle = "2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008",

note = "2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008 ; Conference date: 03-06-2008 Through 05-06-2008",

}

Yang, U, Shin, H & Sohn, K 2008, Pose and illumination invariant 2D to 3D facial recognition system. in 2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008., 4582894, 2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008, pp. 2121-2126, 2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008, Singapore, Singapore, 08/6/3. https://doi.org/10.1109/ICIEA.2008.4582894

Pose and illumination invariant 2D to 3D facial recognition system. / Yang, Ukil; Shin, Hyoungchul; Sohn, Kwanghoon.
2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008. 2008. p. 2121-2126 4582894 (2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008).

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

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T1 - Pose and illumination invariant 2D to 3D facial recognition system

AU - Yang, Ukil

AU - Shin, Hyoungchul

AU - Sohn, Kwanghoon

PY - 2008

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N2 - This paper proposes a pose and illumination invariant face recognition method based on a 2D to 3D facial recognition system which uses two dimensional (2D) image as an input and three dimensional (3D) data as a database. To improve the performance of a facial recognition system, we reorganize the framework of a conventional recognition system into more suitable framework for a 2D to 3D facial recognition system. 2D to 3D pose and illumination estimation algorithm is proposed based on a learning algorithm using multilayer perceptron (MLP). The proposed method estimates both pose and illumination factors of an input image in real-time, and compensates for a database in order to overcome the problems of pose and illumination without any occlusion occurred by insufficient information. To evaluate the performance, we performed both the accuracy tests of pose and illumination estimation and the recognition tests of 2D to 3D facial recognition system with a face database containing both two and three dimensional data.

AB - This paper proposes a pose and illumination invariant face recognition method based on a 2D to 3D facial recognition system which uses two dimensional (2D) image as an input and three dimensional (3D) data as a database. To improve the performance of a facial recognition system, we reorganize the framework of a conventional recognition system into more suitable framework for a 2D to 3D facial recognition system. 2D to 3D pose and illumination estimation algorithm is proposed based on a learning algorithm using multilayer perceptron (MLP). The proposed method estimates both pose and illumination factors of an input image in real-time, and compensates for a database in order to overcome the problems of pose and illumination without any occlusion occurred by insufficient information. To evaluate the performance, we performed both the accuracy tests of pose and illumination estimation and the recognition tests of 2D to 3D facial recognition system with a face database containing both two and three dimensional data.

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T2 - 2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008

Y2 - 3 June 2008 through 5 June 2008

ER -

Pose and illumination invariant 2D to 3D facial recognition system

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