Eye detector based on cues and heuristics with a good accuracy/complexity trade-off

被引:0
|
作者
Grecos, Christos [1 ]
Yang, Mingyuan [1 ]
机构
[1] Univ Cent Lancashire, Sch Comp Engn & Phys Sci, Preston PR1 2HE, Lancs, England
来源
PROCEEDINGS OF THE 2008 NASA/ESA CONFERENCE ON ADAPTIVE HARDWARE AND SYSTEMS | 2008年
关键词
D O I
10.1109/AHS.2008.22
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Eve detection plays a central role in automatic face detection systems and it is also important for face recognition and face tracking. Working on the normalized RGB color space (NRGB), we initially use a combination of corner identification, color and edges as cues for localizing eyes. The eyes localization process is aided by its application on modeled skin patches based on our previous work [9]. Subsequently, heuristics are applied on these localized cues fir the final eye detectors. Experimental results show that our scheme is very fast in the AR and Champion databases, while retaining very high detection rates.
引用
收藏
页码:492 / 497
页数:6
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