Abstract | ||
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In this paper, the color space used in a variety of face detection are analyzed and compared, and through good light compensation realized from the region face, and the input image fusion group points to block colored image segmentation, as well as through the two elliptic order unchanged moments template matching , multi-scale image processing technology to achieve very effective color image of the face of the region .Experiments prove that this method has very high accuracy, good robustness, as well as real-time. |
Year | DOI | Venue |
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2008 | 10.1007/978-3-540-88513-9_84 | ICIRA (1) |
Keywords | Field | DocType |
face detection,input image fusion group,effective color image,multi-scale integration face image,detection technology research,good light compensation,multi-scale image processing technology,good robustness,color space,region face,elliptic order unchanged moment,image segmentation,color image,image fusion,fusion,image processing,template matching,real time | Template matching,Computer vision,Feature detection (computer vision),Object-class detection,Pattern recognition,Image texture,Binary image,Image processing,Artificial intelligence,Engineering,Face detection,Color image | Conference |
Volume | ISSN | Citations |
5314 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 4 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Lingyu Sun | 1 | 16 | 6.09 |
Minglu Zhang | 2 | 27 | 15.35 |
Chun-Yan Gao | 3 | 16 | 7.24 |