Title
Colour Spaces Study for Skin Colour Detection in Face Recognition Systems
Abstract
In this paper we show the results of a work where a comparison among different colour spaces is done in order to know which one is better for human skin colour detection in face detection systems. Our motivation to do this study is that there is not a common opinion about which colour space is the best choice to find skin colour in an image. This is important because most of face detectors use skin colour to detect the face in a picture or a video. We have done a study using 10 different colour spaces (RGB, CMY, YUV, YIQ; YCbCr, YPbPr, YCgCr, YDbDr, HSV -or HSI- and CIE-XYZ). To make the comparisons we have used truth images of 15 different people, comparing at pixel level the number of correct detections (false negatives and false positives) for each colour space.
Year
Venue
Keywords
2007
SIGMAP 2007: PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND MULTIMEDIA APPLICATIONS
face detection,colour spaces,YUV,YIQ,RGB,YCbCr,HSV,skin colour detection
Field
DocType
Citations 
Computer vision,Facial recognition system,Three-dimensional face recognition,Computer science,Artificial intelligence,Face detection
Conference
0
PageRank 
References 
Authors
0.34
1
4