NDLI: Fast and accurate skin segmentation in color images

Content Provider	IEEE Xplore Digital Library
Author	Tomaz, F. Candeias, T. Shahbazkia, H.
Copyright Year	2004
Description	Author affiliation: Universidade do Algarve (Tomaz, F.)
Abstract	We propose a new type of skin segmentation in color images especially developed for applications that require low resources. In our recent [7] work we made use of the Mahalanobis distance that proved its value in human skin segmentation. The calculation of the mentioned distance is very computational demanding. This is often a drawback to an implementation on critical applications, where speed is important. Robot applications are among this group. We now present a skin segmentation only based in each pixel color information to determine its class. We need to make an initial camera calibration and to determine the ST space that we consider skin color. This method is proved effective for most cases of human interaction. The present work can be a initial step in any application requiring human interaction or simply for skin detection.
Starting Page	180
Ending Page	187
File Size	1783394
Page Count	8
File Format	PDF
ISBN	0769521274
DOI	10.1109/CCCRV.2004.1301442
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-05-17
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Face recognition Robot vision systems Humans Color Skin Calibration Face detection Application software Orbital robotics
Content Type	Text
Resource Type	Article

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