Research and Design of Face Detection Based on OpenCV in CodeBlocks

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Abstract:

To implement the problem that the side face detector is slow and its detection rate is low, in this paper, we choose the Adaboost face detection algorithm based on statistics. Then the characteristics of imaging processing software OpenCV and the principle and training flow of Adaboost face detector are introduced. Further, combination with the supplement Haar-like features improved, the full range of face detection based on OpenCV in CodeBlocks is achievement, thereby decreasing the loss of the human faces.

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Advanced Materials Research (Volumes 532-533)

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974-978

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June 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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