Data Cleaning and Outlier Removal: Application in Human Skin Detection

K. Chenaoua, F. Kurugollu, A. Bouridane

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

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 languageEnglish
Title of host publication 2014 5th European Workshop on Visual Information Processing (EUVIP) Proceedings.
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages23-28
Number of pages6
ISBN (Print)978-1-4799-4571-9
DOIs
Publication statusPublished - Dec 2014
Event5th European Workshop on Visual Information Processing, EUVIP 2014 - Paris, France
Duration: 10 Dec 201412 Dec 2014

Conference

Conference5th European Workshop on Visual Information Processing, EUVIP 2014
CountryFrance
CityParis
Period10/12/201412/12/2014

Fingerprint

Cleaning
Skin
Color

Cite this

Chenaoua, K., Kurugollu, F., & Bouridane, A. (2014). Data Cleaning and Outlier Removal: Application in Human Skin Detection. In 2014 5th European Workshop on Visual Information Processing (EUVIP) Proceedings. (pp. 23-28). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/EUVIP.2014.7018408
Chenaoua, K. ; Kurugollu, F. ; Bouridane, A. / Data Cleaning and Outlier Removal: Application in Human Skin Detection. 2014 5th European Workshop on Visual Information Processing (EUVIP) Proceedings.. Institute of Electrical and Electronics Engineers (IEEE), 2014. pp. 23-28
@inproceedings{8f633408afb14e12a62e93c40deabaeb,
title = "Data Cleaning and Outlier Removal: Application in Human Skin Detection",
abstract = "An outlier removal based data cleaning technique is proposed toclean manually pre-segmented human skin data in colour images.The 3-dimensional colour data is projected onto three 2-dimensionalplanes, from which outliers are removed. The cleaned 2 dimensionaldata projections are merged to yield a 3D clean RGB data. This datais finally used to build a look up table and a single Gaussian classifierfor the purpose of human skin detection in colour images.",
author = "K. Chenaoua and F. Kurugollu and A. Bouridane",
year = "2014",
month = "12",
doi = "10.1109/EUVIP.2014.7018408",
language = "English",
isbn = "978-1-4799-4571-9",
pages = "23--28",
booktitle = "2014 5th European Workshop on Visual Information Processing (EUVIP) Proceedings.",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

}

Chenaoua, K, Kurugollu, F & Bouridane, A 2014, Data Cleaning and Outlier Removal: Application in Human Skin Detection. in 2014 5th European Workshop on Visual Information Processing (EUVIP) Proceedings.. Institute of Electrical and Electronics Engineers (IEEE), pp. 23-28, 5th European Workshop on Visual Information Processing, EUVIP 2014, Paris, France, 10/12/2014. https://doi.org/10.1109/EUVIP.2014.7018408

Data Cleaning and Outlier Removal: Application in Human Skin Detection. / Chenaoua, K.; Kurugollu, F.; Bouridane, A.

2014 5th European Workshop on Visual Information Processing (EUVIP) Proceedings.. Institute of Electrical and Electronics Engineers (IEEE), 2014. p. 23-28.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Data Cleaning and Outlier Removal: Application in Human Skin Detection

AU - Chenaoua, K.

AU - Kurugollu, F.

AU - Bouridane, A.

PY - 2014/12

Y1 - 2014/12

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

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

U2 - 10.1109/EUVIP.2014.7018408

DO - 10.1109/EUVIP.2014.7018408

M3 - Conference contribution

SN - 978-1-4799-4571-9

SP - 23

EP - 28

BT - 2014 5th European Workshop on Visual Information Processing (EUVIP) Proceedings.

PB - Institute of Electrical and Electronics Engineers (IEEE)

ER -

Chenaoua K, Kurugollu F, Bouridane A. Data Cleaning and Outlier Removal: Application in Human Skin Detection. In 2014 5th European Workshop on Visual Information Processing (EUVIP) Proceedings.. Institute of Electrical and Electronics Engineers (IEEE). 2014. p. 23-28 https://doi.org/10.1109/EUVIP.2014.7018408