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
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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
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