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Face Detection using Color Segmentation and Eigenfaces. Ashish Desai Lukas Herzog Kais Mayaah. Overview. Block Diagram Color Segmentation Implementation Eigenface implementation Example using a training image Overall results Possible improvements. Block Diagram. Color Segmentation.
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Face Detection using Color Segmentation and Eigenfaces Ashish Desai Lukas Herzog Kais Mayaah
Overview • Block Diagram • Color Segmentation Implementation • Eigenface implementation • Example using a training image • Overall results • Possible improvements
Color Segmentation • Assumed Gaussian distribution of skin color in YbCbR color space • Found mean and standard deviation using a subset of the training images • Eliminated any pixel that fell out of the range of the mean +/- 1.6 standard deviations
Eigenface Implemenation • Used the Sirovich-Kirby method to find the highest “power” eigenface for a subset of the training images • Down-sampled the input to match the eigenface size based on a size estimation from the color section • Used template matching with eigenface, thresholding, and dilation
Conclusion and Possible Improvements • Color segmentation was excellent first step • Eigenface implementation may need more examples faces to get better results • Could possibly use more “fuzzy” scheme, rather than finite threshold values