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Face Detection in Color Images

Face Detection in Color Images. Method Used . Face detection using skin color based segmentation. Data Set . A Data set of more than 100 singular face images with faces directly facing the camera to get a better skin color estimation. Source :- Google and AltaVista search engines.

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Face Detection in Color Images

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  1. Face Detection in Color Images

  2. Method Used • Face detection using skin color based segmentation

  3. Data Set • A Data set of more than 100 singular face images with faces directly facing the camera to get a better skin color estimation. • Source :- Google and AltaVista search engines

  4. Steps Followed • Use of HSV color space for color segmentation instead of RGB. • Training of the algorithm using the given dataset in HSV color space. • Using Images with multiple face images to generate the final results.

  5. Results obtained • For Skin Color classification the algorithm gave the following results: 17/255 <= H <= 240/255

  6. Original Image Segmented image

  7. Original Image Segmented Image

  8. Original Image Segmented Image

  9. cntd…..

  10. Future Work • Getting Better approximation of skin color using factors like saturation and Value in HSV and also using other models such as YCbCr for further refinement. • Extraction of actual faces from the segmented images using symmetric properties of face and elliptical objects

  11. References and Platforms • Matlab Image processing tool box. • Detecting Human Faces in Color Images by Ming Yang and Narendra Ahuja. • A Bayesian approach to skin color classification in YCbCr Space by Douglas Chai and Abdesselam Bouzerdoum.

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