migration: github.com/opencv/opencv
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@@ -91,7 +91,7 @@ compensate for the differences in the size of areas. The sums of pixel values ov
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regions are calculated rapidly using integral images (see below and the integral description).
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To see the object detector at work, have a look at the facedetect demo:
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<https://github.com/Itseez/opencv/tree/master/samples/cpp/dbt_face_detection.cpp>
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<https://github.com/opencv/opencv/tree/master/samples/cpp/dbt_face_detection.cpp>
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The following reference is for the detection part only. There is a separate application called
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opencv_traincascade that can train a cascade of boosted classifiers from a set of samples.
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