Simple-skin-detection

Implemented in python. Dependencies: numpy, opencv, sklearn.

1. Simple pixelwise skin detection using classification tree.

2. Histogram backprojection.

Data and tools:

1. Skin Segmentation Data Set from https://archive.ics.uci.edu/ml/datasets/Skin+Segmentation

2. face.png image from http://graphics.cs.msu.ru/ru/node/899

3. 3D projection of skin pixels was done by 3D Color Inspector/Color Histogram Tool http://imagej.net/plugins/color-inspector.html

Some results:

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TODO:

1. GMM http://www.ghvandoorn.nl/skindetection.html
2. Make demo with user input.
3. Evaluate methods on additional datasets.
4. Try other color spaces http://pesona.mmu.edu.my/~johnsee/research/papers/files/rgbhcbcr_m2usic06.pdf

DATA:

http://lbmedia.ece.ucsb.edu/research/skin/skin.htm
http://www.feeval.org/Data-sets/Skin_Colors.html
http://web.fsktm.um.edu.my/~cschan/project1.htm

PAPERS:

"A Survey on Pixel-Based Skin Color Detection Techniques"
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.5.521&rep=rep1&type=pdf