NDLI: A comparative study of color spaces in skin-based face segmentation

Content Provider	IEEE Xplore Digital Library
Author	Montenegro, J. Gomez, W. Sanchez-Orellana, P.
Copyright Year	2013
Description	Author affiliation: Lab. de Tecnol. de Informaciona, CINVESTAV-IPN, Ciudad Victoria, Mexico (Montenegro, J.; Gomez, W.) \|\| Div. de Estudios de Posgrado e Investig., Inst. Tecnol. de Ciudad Victoria, Ciudad Victoria, Mexico (Sanchez-Orellana, P.)
Abstract	This paper presents a comparative study of five color spaces commonly used for detecting human skin. The evaluated models were: normalized RGB, HSV, YCbCr, CIE Lab, and CIE Luv. These color spaces attempt to separate the luminance from chrominance components, which is useful to make the face skin detection illumination independent. We used the Microsoft Kinect®sensor for acquiring 705 RGB images from 47 subjects in the age range from 18 to 45 years and distinct skin tones. Besides, each image was segmented manually to define true skin pixels. A probabilistic classifier was built for each tested colorspace to classify a pixel color into skin class or non-skin class. The Matthews correlation coefficient (MCC) was used to evaluate the quality of the computerized skin classification. The results pointed out that the CIE Lab colorspace reached the best MCC performance with median value equal to 0.779 and $Q_{n}$ estimator equal to 0.074. The worst performance was attached by normalized RGB with with median value equal to 0.606 and $Q_{n}$ estimator equal to 0.143.
Starting Page	313
Ending Page	317
File Size	3197327
Page Count	5
File Format	PDF
e-ISBN	9781479914616
DOI	10.1109/ICEEE.2013.6676048
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-30
Publisher Place	Mexico
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Human face detection from images, based on skin color

A new face detection algorithm based on skin color segmentation

Study on Face Detection Algorithm Based on Skin Color Segmentation and AdaBoost Algorithm

Face detection in color images using skin color model algorithm based on skin color information

Comparative Implementation of Colour Analysis Based Methods for Face Detection Algorithm

Face Detection Based on Fuzzy Granulation and Skin Color Segmentation

Comparative analysis of skin color model for face detection

Comparative study of skin color based segmentation techniques.

A robust skin color based face detection algorithm

A comparative study of color spaces in skin-based face segmentation

Similar Documents

Human face detection from images, based on skin color

A new face detection algorithm based on skin color segmentation

Study on Face Detection Algorithm Based on Skin Color Segmentation and AdaBoost Algorithm

Face detection in color images using skin color model algorithm based on skin color information

Comparative Implementation of Colour Analysis Based Methods for Face Detection Algorithm

Face Detection Based on Fuzzy Granulation and Skin Color Segmentation

Comparative analysis of skin color model for face detection

Comparative study of skin color based segmentation techniques.

A robust skin color based face detection algorithm

A comparative study of color spaces in skin-based face segmentation