Partial Face Detection and Significant Feature Parts on Face

Min Chi Kao, Tzuu-Hseng S. Li

研究成果: Conference contribution

摘要

Face detection is an important technique and has been employed in many applications. Many literatures have been proposed to extract the features of face. However, in many cases, the human face may be obscured by other people or objects which cause the face cannot be detected. This paper focuses on how to do partial face detection and discusses what the significant feature parts on face are. We employed SURF algorithm to compute the reliable feature parts on face so that the partial face can be detected. In order to evaluate the degree of importance for each feature part, this paper introduces CV value to appraise each feature part of face. Finally, the experimental result demonstrates the effectiveness of the proposed algorithm.

原文English
主出版物標題New Trends on System Sciences and Engineering - Proceedings of ICSSE 2015
發行者IOS Press
頁面126-136
頁數11
276
ISBN(電子)9781614995210
DOIs
出版狀態Published - 2015
事件International Conference on System Science and Engineering, ICSSE 2015 - Morioka, Japan
持續時間: 2015 七月 62015 七月 8

出版系列

名字Frontiers in Artificial Intelligence and Applications
276
ISSN(列印)0922-6389

Other

OtherInternational Conference on System Science and Engineering, ICSSE 2015
國家Japan
城市Morioka
期間15-07-0615-07-08

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

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