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.
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 | |
| 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 |