@inproceedings{2a38d7e9ae134d0fbf6b0dd177d7e554,
title = "Automatic pose-normalized 3D face modeling and recognition systems",
abstract = "Pose-variation factors present a big problem in 2D face recognition. To solve this problem, we designed a 3D face acquisition system which was able to generate multi-view images. However, this created another pose-estimation problem in terms of normalizing the 3D face data. This paper presents an automatic pose-normalized 3D face data acquisition method that is able to perform both 3D face modeling and 3D face pose-normalization at once. The proposed method uses 2D information with the AAM (Active Appearance Model) and 3D information with a 3D normal vector. The proposed system is based on stereo vision and a structured light system which consists of 2 cameras and 1 projector. In orsder to verify the performance of the proposed method, we designed an experiment for 2.5D face recognition. Experimental results showed that the proposed method is robust against pose variation.",
author = "Sunjin Yu and Kwontaeg Choi and Sangyoun Lee",
year = "2006",
doi = "10.1007/11949534_65",
language = "English",
isbn = "354068297X",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "652--661",
booktitle = "Advances in Image and Video Technology - First Pacific Rim Symposium, PSIVT 2006, Proceedings",
address = "Germany",
note = "1st Pacific Rim Symposium on Image and Video Technology, PSIVT 2006 ; Conference date: 10-12-2006 Through 13-12-2006",
}