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

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

7 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 language	English
Title of host publication	2014 5th European Workshop on Visual Information Processing (EUVIP) Proceedings.
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	23-28
Number of pages	6
ISBN (Print)	978-1-4799-4571-9
DOIs	https://doi.org/10.1109/EUVIP.2014.7018408
Publication status	Published - Dec 2014
Event	5th European Workshop on Visual Information Processing, EUVIP 2014 - Paris, France Duration: 10 Dec 2014 → 12 Dec 2014

Conference

Conference	5th European Workshop on Visual Information Processing, EUVIP 2014
Country/Territory	France
City	Paris
Period	10/12/2014 → 12/12/2014

Access to Document

10.1109/EUVIP.2014.7018408

Cite this

@inproceedings{8f633408afb14e12a62e93c40deabaeb,

title = "Data Cleaning and Outlier Removal: Application in Human Skin Detection",

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. ",

author = "K. Chenaoua and F. Kurugollu and A. Bouridane",

year = "2014",

month = dec,

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 Inc.",

address = "United States",

note = "5th European Workshop on Visual Information Processing, EUVIP 2014 ; Conference date: 10-12-2014 Through 12-12-2014",

}

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 Inc., 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

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 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.

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 Inc.

T2 - 5th European Workshop on Visual Information Processing, EUVIP 2014

Y2 - 10 December 2014 through 12 December 2014

ER -

Data Cleaning and Outlier Removal: Application in Human Skin Detection

Abstract

Conference

Access to Document

Fingerprint

Cite this