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Face Detection in Color Images

Face Detection in Color Images. Sora Kim Ramon Prieto Amita Pugalia. Outline. Input Image. Skin Color Detection. Morphological Processing. Template Matching. Eigenfaces. Output Image. Input Image. Training_3.jpg. Skin Color Detection. Probability Image. Binary Image.

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Face Detection in Color Images

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  1. Face Detection in Color Images Sora Kim Ramon Prieto Amita Pugalia

  2. Outline Input Image Skin Color Detection Morphological Processing Template Matching Eigenfaces Output Image

  3. Input Image Training_3.jpg

  4. Skin Color Detection Probability Image Binary Image - Color model of eight Gaussians - k-means training algorithm

  5. Morphological Processing Morphological closing followed by opening using the same circular structuring element.

  6. Template Matching Template Formation - Fixed intersection point of vertical facial symmetry line and horizontal line passing through the pupils of eyes.

  7. Template Matching (Cont.) Lens Zoom Considerations - Two templates: 12x12, 10x18 - Different correlation thresholds \ - Different downsizing factors

  8. Intermediate Results Repeated and false detections!

  9. Eigenfaces Method - Sirovich & Kirby Algorithm using Karhunen-Loeve Expansion - Space & luminance normalization over intersection point - First 30 highest energy eigenvectors used - Three thresholds: regression error, minimum coefficient distance to a training face, ratio of the two highest energy coefficients

  10. First Nine Eigenfaces

  11. Final Face Detection Result

  12. Results Computation Time < 4min.

  13. Conclusions - Skin Color Detection & Morphological Processing : Segment out possible face parts & reduce computation time - Template Matching & Eigenfaces Method : Select the positions of faces & reject the non-faces and repetitions - For the 7 training images, scores higher than 20 & computation time less than 4minutes : Simple and fast algorithm, but relatively accurate

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