Data cleaning and outlier removal: Application in human skin detection

K. Chenaoua; F. Kurugollu; A. Bouridane

doi:10.1109/EUVIP.2014.7018408

Data cleaning and outlier removal: Application in human skin detection

K. Chenaoua
, F. Kurugollu
, A. Bouridane

Department of Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Scopus citations

Abstract

An outlier removal based data cleaning technique is proposed to clean manually pre-segmented human skin data in colour images. The 3-dimensional colour data is projected onto three 2-dimensional planes, from which outliers are removed. The cleaned 2 dimensional data projections are merged to yield a 3D clean RGB data. This data is finally used to build a look up table and a single Gaussian classifier for the purpose of human skin detection in colour images.

Original language	English
Title of host publication	EUVIP 2014 - 5th European Workshop on Visual Information Processing
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479945726
DOIs	https://doi.org/10.1109/EUVIP.2014.7018408
State	Published - 22 Jan 2015

Publication series

Name	EUVIP 2014 - 5th European Workshop on Visual Information Processing

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Keywords

Skin detection
classification
outlier removal
single Gaussian

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Information Systems
Signal Processing

Access to Document

10.1109/EUVIP.2014.7018408

Cite this

Chenaoua, K., Kurugollu, F., & Bouridane, A. (2015). Data cleaning and outlier removal: Application in human skin detection. In EUVIP 2014 - 5th European Workshop on Visual Information Processing Article 7018408 (EUVIP 2014 - 5th European Workshop on Visual Information Processing). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EUVIP.2014.7018408

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Data cleaning and outlier removal: Application in human skin detection. / Chenaoua, K.; Kurugollu, F.; Bouridane, A.
EUVIP 2014 - 5th European Workshop on Visual Information Processing. Institute of Electrical and Electronics Engineers Inc., 2015. 7018408 (EUVIP 2014 - 5th European Workshop on Visual Information Processing).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Kurugollu, F.

AU - Bouridane, A.

PY - 2015/1/22

Y1 - 2015/1/22

N2 - An outlier removal based data cleaning technique is proposed to clean manually pre-segmented human skin data in colour images. The 3-dimensional colour data is projected onto three 2-dimensional planes, from which outliers are removed. The cleaned 2 dimensional data projections are merged to yield a 3D clean RGB data. This data is finally used to build a look up table and a single Gaussian classifier for the purpose of human skin detection in colour images.

AB - An outlier removal based data cleaning technique is proposed to clean manually pre-segmented human skin data in colour images. The 3-dimensional colour data is projected onto three 2-dimensional planes, from which outliers are removed. The cleaned 2 dimensional data projections are merged to yield a 3D clean RGB data. This data is finally used to build a look up table and a single Gaussian classifier for the purpose of human skin detection in colour images.

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M3 - Conference contribution

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Data cleaning and outlier removal: Application in human skin detection

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this