An Encoding Scheme for Robust Face Recognition

摘要：

Noticing that many available view-based methods are confined within rather limited operating conditions, in this work we investigate into whether external factors such as illumination, pose, expression and occlusion can be explicitly estimated and be used to boost the verification performance. Our approach consists of three steps: encoding the external factors, code estimation, and identity verification using the encoded data. Empirical experiments were performed on this method using the BERC database which contains both visual and infrared facial images. The experimental results show significant performance elevation from the proposed method, thus demonstrating the effectiveness of isolating the external factors.

作者: Sang-ki KIM Hyobin LEE Kar-ann TOH Sangyoun LEE

作者单位: Yonsei University, Korea

会议类型: 国际会议

会议名称: 2nd IEEE Conference on Industrial Electronics and Applications(ICIEA 2007)(第二届IEEE工业电子与应用国际会议)

会议地点: 哈尔滨

会议语种:英文

在线出版日期: 2007-05-23（万方平台首次上网日期，不代表论文的发表时间）