[IPOL announce] new article: An Analysis of the Viola-Jones Face Detection Algorithm

[announcements about the IPOL journal]

A new article is available in IPOL: http://www.ipol.im/pub/art/2014/104/

Yi-Qing Wang,
An Analysis of the Viola-Jones Face Detection Algorithm,
Image Processing On Line, 4 (2014), pp. 128--148.
http://dx.doi.org/10.5201/ipol.2014.104

Abstract
In this article, we decipher the Viola-Jones algorithm, the first ever 
real-time face detection system. There are three ingredients working in 
concert to enable a fast and accurate detection: the integral image for 
feature computation, Adaboost for feature selection and an attentional 
cascade for efficient computational resource allocation. Here we propose 
a complete algorithmic description, a learning code and a learned face 
detector that can be applied to any color image. Since the Viola-Jones 
algorithm typically gives multiple detections, a post-processing step is 
also proposed to reduce detection redundancy using a robustness argument.



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