Toward robust skin identification in video images
作者： D. Saxe , R. Foulds
关键词: Videoconferencing 、 Orientation (computer vision) 、 Computer science 、 Gesture 、 Artificial intelligence 、 Facial expression 、 Computer vision 、 Population 、 Face (geometry) 、 Identification (information) 、 Image segmentation
摘要: There are many applications where it is desirable to segment a video image into regions defined by color. Among these the recognition of gesture from (as opposed instrumented gloves), facial expression and orientation, teleconferencing. In examples, important elements images human hands face, which share common skin coloration subject. This paper describes an approach identification skin-colored that robust in terms variations pigmentation single subject, differences across population potential users, subject clothing background. The also discusses for being over wide range illuminating conditions.
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