Data Cleaning and Outlier Removal: Application in Human Skin Detection
| Data(s) |
01/12/2014
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| Resumo |
An outlier removal based data cleaning technique is proposed to<br/>clean manually pre-segmented human skin data in colour images.<br/>The 3-dimensional colour data is projected onto three 2-dimensional<br/>planes, from which outliers are removed. The cleaned 2 dimensional<br/>data projections are merged to yield a 3D clean RGB data. This data<br/>is finally used to build a look up table and a single Gaussian classifier<br/>for the purpose of human skin detection in colour images.<br/> |
| Identificador | |
| Idioma(s) |
eng |
| Publicador |
Institute of Electrical and Electronics Engineers (IEEE) |
| Direitos |
info:eu-repo/semantics/restrictedAccess |
| Fonte |
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 December . DOI: 10.1109/EUVIP.2014.7018408 |
| Tipo |
contributionToPeriodical |
