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Viola–Jones object detection framework
The Viola–Jones object detection framework is the first object detection framework to provide competitive object detection rates in real-time proposed in 2001 by Paul Viola and Michael Jones.〔(Rapid object detection using a boosted cascade of simple features )〕〔(Viola, Jones: Robust Real-time Object Detection, IJCV 2001 ) See pages 1,3.〕 Although it can be trained to detect a variety of object classes, it was motivated primarily by the problem of face detection. This algorithm is implemented in OpenCV as cvHaarDetectObjects().
== Problem description ==
The problem to be solved is detection of faces in an image. A human can do this easily, but a computer needs precise instructions and constraints. To make the task more manageable, Viola–Jones requires full view frontal upright faces. Thus in order to be detected, the entire face must point towards the camera and should not be tilted to either side. While it seems these constraints could diminish the algorithm's utility somewhat, because the detection step is most often followed by a recognition step, in practice these limits on pose are quite acceptable.
抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』
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