Real-Time Face Detection Using Integral Histogram of Multi-scale Local Binary Patterns View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2011

AUTHORS

Sébastien Paris , Hervé Glotin , Zhong-Qiu Zhao

ABSTRACT

This paper introduces a novel fast and efficient method for face detection using integral histogram of multi-scale local binary patterns (HMSLBP). Histogram of LBP and its variants are among the state-of-the-art descriptors in vision systems and is very competitive compared to well known Bag-of-SIFT. HMSLBP has the property to be mainly linearly separable and can be trained efficiently with a fast large-scale support vector machine (SVM) solver. The new proposed detector offers a framerate superior to 20 fps in VGA mode with modern computers. More... »

PAGES

276-281

References to SciGraph publications

Book

TITLE

Advanced Intelligent Computing

ISBN

978-3-642-24727-9
978-3-642-24728-6

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-24728-6_37

DOI

http://dx.doi.org/10.1007/978-3-642-24728-6_37

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1034198463


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