標題: HVPN: The Combination of Horizontal and Vertical Pose Normalization for Face Recognition
作者: Gu, Hui-Zhen
Kao, Yung-Wei
Lee, Suh-Yin
Yuan, Shyan-Ming
資訊科學與工程研究所
Institute of Computer Science and Engineering
關鍵字: pose normalization;face recognition
公開日期: 2009
摘要: Face recognition has received much attention with numerous applications in various fields. Although many face recognition algorithms have been proposed, usually they are not highly accurate enough when the poses of faces vary considerably. In order to solve this problem, some researches have proposed pose normalization algorithm to eliminate the negative effect cause by poses. However, only horizontal normalization has been considered in these researches. In this paper, the HVPN (Horizontal and Vertical Pose Normalization) system is proposed to accommodate the pose problem effectively. A pose invariant reference model is re-rendered after the horizontal and vertical pose normalization sequentially. The proposed face recognition system is evaluated based on the face database constructed by our self. ne experimental results demonstrate that pose normalization can improve the recognition performance using conventional principal component analysis (PCA) and linear discriminant analysis (LDA) approaches under varying pose. Moreover, we show that the combination of horizontal and vertical pose normalization can be evaluated with higher performance than mere the horizontal pose normalization.
URI: http://hdl.handle.net/11536/15895
ISBN: 978-3-540-92891-1
ISSN: 0302-9743
期刊: ADVANCES IN MULTIMEDIA MODELING, PROCEEDINGS
Volume: 5371
起始頁: 367
結束頁: 378
顯示於類別:會議論文