Publications

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Search for Publication


Year(s) from:  to 
Author:
Keywords (separated by spaces):

Face Recognition based on Regularized Nearest Points between Image Set

Meng Yang, Pengfei Zhu, Luc Van Gool, and Lei Zhang
Proc. 10th IEEE International Conf. Automatic Face and Gesture Recogni-tion
April 2013

Abstract

In this paper, a novel regularized nearest points (RNP) method is proposed for image sets based face recognition. By modeling an image set as a regularized affine hull (RAH), two regularized nearest points (RNP), one on each image set¡¯s RAH, are automatically determined by an efficient iterative solver. The between-set distance of RNP is then defined by considering both the distance between the RNPs and the structure of image sets. Compared with the recently developed sparse approximated nearest points (SANP) method, RNP has a more concise formulation, less variables and lower time complexity. Extensive experiments on benchmark databases (e.g., Honda/UCSD, CMU Mobo and YouTube databases) clearly show that our proposed RNP consistently outperforms state-of-the-art methods in both accuracy and efficiency.


Link to publisher's page
@InProceedings{eth_biwi_01036,
  author = {Meng Yang and Pengfei Zhu and Luc Van Gool and and Lei Zhang},
  title = {Face Recognition based on Regularized Nearest Points between Image Set},
  booktitle = {Proc. 10th IEEE International Conf. Automatic Face and Gesture Recogni-tion},
  year = {2013},
  month = {April},
  publisher = {IEEE},
  keywords = {regularized nearest points; regularized affine hull; image set; face recognition}
}