Face Detection in Color Images

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Presentation transcript:

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

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.

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

Original Image Segmented image

Original Image Segmented Image

Original Image Segmented Image

cntd…..

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

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.