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PRESENTED BY: Anil Mandal (508) Pawal Adhikari (522) Pradeep G.C(523)

PRESENTED BY: Anil Mandal (508) Pawal Adhikari (522) Pradeep G.C(523) Sabin Kishor Mainali (534). Human Face detection. What is Face Detection?. Given an image, tell whether there is any human face, if there is, where is it(or where they are ).

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PRESENTED BY: Anil Mandal (508) Pawal Adhikari (522) Pradeep G.C(523)

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  1. PRESENTED BY: • Anil Mandal(508) • PawalAdhikari(522) • Pradeep G.C(523) • Sabin KishorMainali(534) Human Face detection

  2. What is Face Detection? • Given an image, tell whether there is any human face, if there is, where is it(or where they are).

  3. Detects Human Face from the image inputted Able to detect multiple faces Based on Skin Color Detection Can’t work for Grey-scale Images Application Overview…

  4. BASIC BLOCK DIAGRAM ELIMINATE ALL INSIGNIFICANT COLOR EXCEPT OF SKIN REGION GROWTH ALGORITHM FOR WHITE COLOR SEGMENTATION INPUT IMAGE APPLY MEDIAN FILTER REMOVE INSIGNIFICANT WHITE REGION SELECT REGION THAT CONSISTS OF EYES OUTPUT IMAGE EDGE DETECTION

  5. Facial Color Extraction • HSV color spaces model used • Implementation of Median Filter • Use for Noise Reduction encountered during color extraction(especially Salt and Pepper Noise) • Edge Detection • Use to find the boundary of faces in image • Used Canny Edge Detection Method COMPLETED ACTIVITIES…

  6. What we have done so far..

  7. Topic of the Project • First thought of ‘Face Detection’ and then ‘Fast Face Detection’ and at last wrapped up with ‘Human Face Detection’ • Algorithm to implement • Skin Color Detection Method choosen due to simplicity and fast detection rate Challenges faced…

  8. To Find Accurate Skin Color Detection Algorithm • First we used RGB color spaces but later ended up with HSV which has good result • Noises Reduction Technique Still not Good Enough • Median Filter works fine on only Salt & Pepper Noise CONTINUED

  9. WORK BREAKDOWN STRUCTURE… LEVEL 1 FACE DETECTION LEVEL 2 REGION REPRESENTING FACE SELECTION SKIN COLOR SEGMENTATION NOISE REDUCTION FACIAL REGION SEGMENTATION OUTPUT DETERMINATION HSV COLOR MODEL FOR SKIN REGION MEDAIN FILTER DETERMINE REGION REPRESENTING FACE AND DRAW RECTANGULAR BOX AROUND IT LEVEL 3 REGION GROWTH ALGORITHM EYE REGION DETECTION SIGMA FILTER GREYSCALECONVERSION EDGE DETECTION EIGEN HOLE DETECTION LEVEL 4 RESIZE IMAGE TO 300*300 WHITE REGION SEGMENTATION

  10. Work management table

  11. THANK YOU

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