Elena Šikudová
ABSTRACT
In our paper we investigate the annotation of digitized paintings. We use single Gaussian distribution model to classify image areas as skin colored. After detecting the skin colored regions, the geometrical information about each region is used to verify the face. Then we focus on the comparison of the fitness of chosen color spaces in skin pixel detection. We use three methods of region classification a feed forward neural network (NN), linear discriminant analysis (LDA) and learning vector quantization (LVQ). At the end we briefly discuss the results achieved.
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Index Terms
- Comparison of color spaces for face detection in digitized paintings
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