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FaceTracer: A Search Engine for Large Collections of Images with Faces

FaceTracer: A Search Engine for Large Collections of Images with Faces. Neeraj Kumar, Peter Belhumeur, Shree Nayar Columbia University. How Can We Describe This Face?. Woman. Brunette. Young. Smiling. Asian. …. How Can We Describe The Image ?. Indoors. Frontal. Flash. Alone.

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FaceTracer: A Search Engine for Large Collections of Images with Faces

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  1. FaceTracer:A Search Engine for Large Collections of Images with Faces Neeraj Kumar, Peter Belhumeur, Shree Nayar Columbia University

  2. How Can We Describe This Face? Woman Brunette Young Smiling Asian …

  3. How Can We DescribeThe Image? Indoors Frontal Flash Alone In Focus …

  4. We Need a Search Engine Based on Facial and Image Appearance

  5. Some Numbers • Billions of Images • Hundreds of Attributes • Thousands of Manual Labels We need to do this automatically

  6. Overview of Database Creation

  7. Detect and Align

  8. Database Statistics

  9. Database Size Comparison

  10. Total Number of Faces

  11. Total Number of Faces

  12. Total Number of Faces

  13. Total Number of Faces

  14. Total Number of Faces MIT+CMU Yale A Yale B FERET CMU PIE FRGC v2.0

  15. Labeled Attribute Statistics Total Number of Labels: 17,454

  16. Face Regions

  17. Feature Types

  18. Feature Types RGB, Mean Norm., No Aggreg. (r.m.n)

  19. Feature Types Edge Orientations, No Norm, Histogram (o.n.h)

  20. Train Classifiers Mouth Raw RGB Pool of Classifiers

  21. Train Classifiers Eyes Mean-Normalized RGB Pool of Classifiers

  22. Train Classifiers Whole Face Raw Intensity Pool of Classifiers

  23. Train Classifiers Whole Face Gradient Directions Pool of Classifiers

  24. Select Classifiers Selected Classifiers Error Rate Pool of Classifiers Iteration

  25. Feature Selection: Smiling • Mouth: RGB, MeanNorm., No Aggreg. (M:r.m.n) • Mouth: RGB, NoNorm., No Aggreg.(M:r.n.n) • Mouth: RGB, EnergyNorm., No Aggreg.(M:r.e.n) • Whole Face: Intensity,No Norm., No Aggreg.(W:i.n.n) • …

  26. Selected Features Smiling

  27. Selected Features Gender

  28. Selected Features Indoor/Outdoor

  29. Selected Features Hair Color

  30. Classification Accuracy

  31. Comparison to State-of-the-Art

  32. Results

  33. “Asian Babies”

  34. “Adults Outside”

  35. “Middle-Aged White Men”

  36. “Old Men With Mustaches”

  37. “People Wearing Sunglasses Outside”

  38. “Kids Indoors Not Smiling”

  39. “Men With Dark Hair”

  40. “Smiling Asian Men With Glasses”

  41. Personal FaceTracer Search “Children outside”

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