中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Face detection method based on skin color segmentation and eyes verification

文献类型:会议论文

作者Yi YH(易轶虎); Qu DK(曲道奎); Xu F(徐方)
出版日期2009
会议名称2009 International Conference on Artificial Intelligence and Computational Intelligence
会议日期November 7-8, 2009
会议地点Shanghai, China
页码495-501
中文摘要Due to the existence of complicated illumination, background and variations of pose, fast and robust face detection is constrainted in many applications. This paper describes a novel scheme conceived to integrate multiple cues to detect face under in-plane rotation, Concretely, we apply skin-color, heuristic rules and eye feature to build a robust detector. First, skin detection approach based on novel skin color model is applied to search potential face regions. Then, In order to reduce the number of candidates furtherly, major distinct non-face candidates are filtered out via prejudging rules. Next, eye localization is carried out to verify true face in remained candidates. For the purpose of finding eyes precisely, localization utilizes several methods including of EyeMap, illumination correction, template matching. Finally, we can achieve orientation and rotation face by using of eye-pair size and position. Evaluated by our own facial images and videos with complicated illumination and background, the system has high calculation speed, illumination independency as well as pose insensitivity, and obtains good experimental results.
收录类别EI ; CPCI(ISTP)
产权排序1
会议主办者Shanghai Univ Elect Power, IEEE, Springer, APNNA, NSFC
会议录2009 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, VOL III, PROCEEDINGS
会议录出版者IEEE COMPUTER SOC
会议录出版地LOS ALAMITOS
语种英语
ISBN号978-0-7695-3816-7
WOS记录号WOS:000276223900098
源URL[http://ir.sia.cn/handle/173321/7663]  
专题沈阳自动化研究所_其他
推荐引用方式
GB/T 7714
Yi YH,Qu DK,Xu F. Face detection method based on skin color segmentation and eyes verification[C]. 见:2009 International Conference on Artificial Intelligence and Computational Intelligence. Shanghai, China. November 7-8, 2009.

入库方式: OAI收割

来源:沈阳自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。