Research and Implementation of Face Detection Based on OpenCV

Wen Huan Wu; Ying Jun Zhao; Yong Fei Che

doi:10.4028/www.scientific.net/AMR.971-973.1710

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 971-973Research and Implementation of Face Detection...

Research and Implementation of Face Detection Based on OpenCV

Abstract:

Face detection is the key point in automatic face recognition system. This paper introduces the face detection algorithm with a cascade of Adaboost classifiers and how to configure OpenCV in MCVS. Using OpenCV realized the face detection. And a detailed analysis of the face detection results is presented. Through experiment, we found that the method used in this article has a high accuracy rate and better real-time.

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Periodical:

Advanced Materials Research (Volumes 971-973)

Pages:

1710-1713

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.971-973.1710

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Online since:

June 2014

Authors:

Wen Huan Wu*, Ying Jun Zhao, Yong Fei Che

Keywords:

Adaboost, Face Detection, MCVS, OpenCV

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* - Corresponding Author

References

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