Research of AdaBoost Face Detection and OpenCV Implementation

Chun Lei Shi; Dan Dan Yang; Guang Yuan Jiang

doi:10.4028/www.scientific.net/AMM.651-653.482

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 651-653Research of AdaBoost Face Detection and OpenCV...

Research of AdaBoost Face Detection and OpenCV Implementation

Abstract:

We introduce the principle of AdaBoost face detection algorithm based on Haar-like feature in detail, and use OpenCV face detection module to realize AdaBoost algorithm on CMU face library. Experimental results show that the algorithm receives good effects. Meanwhile we analyze the relationship between the number of simple classifier and face detection result.

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Periodical:

Applied Mechanics and Materials (Volumes 651-653)

Pages:

482-485

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.651-653.482

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Online since:

September 2014

Authors:

Chun Lei Shi*, Dan Dan Yang, Guang Yuan Jiang

Keywords:

Adaboost Algorithm, Face Detection, Haar-Like Feature, OpenCV, Summed Area Table

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* - Corresponding Author

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