Face Detection Based on Cost-Gentle Adaboost Algorithm

  • Jian Cheng
  • Haijun Liu
  • Jian Wang
  • Hongsheng Li
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 246)


With the development of information technology, the research on face detection has been an important topic in computer vision. In this paper, a novel method is proposed for face detection based on Cost-Gentle Adaboost algorithm. The main differences between our method and the traditional Gentle Adaboost are that the cost factors have been introduced into the training process: the higher the value, the more important of this class samples. In the new training process, the selected classifiers can more effectively focus on the face samples than the traditional Gentle Adaboost algorithm. The face detector trained by our method can achieve higher detection rate at appropriate false positive rates. Experimental results also show that our method is effective.


Face detection Cost factors Gentle Adaboost algorithm 



This work is supported by the National Natural Science Foundation of China under Projects 61201271 and Specialized Research Fund for the Doctoral Program of Higher Education 20100185120021.


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Jian Cheng
    • 1
  • Haijun Liu
    • 1
  • Jian Wang
    • 1
  • Hongsheng Li
    • 1
  1. 1.School of Electronic EngineeringUniversity of Electronic Science and Technology of ChinaChengduChina

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