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DSSF Group Assignment slides

DSSF Group Assignment slides

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Dssfhw3 Presentation Transcript

  • 1. Image Recognition
  • 2. Pose Illumination and Expression database
  • 3. Eigenfaces
  • 4. Performance
  • 5. Facial Recognition Facial Feature Recognition and Face Matching
  • 6. Past Technologies
    • Humans have innate ability
    • 1960s science began teaching computers
    • 2D modeling and scanning
    • 3D modeling and scanning
  • 7. Basics
    • Recognize a face
    • Recognize features of face
    • Measure facial variables
    • Compare to database
  • 8. Basics
    • Landmarks
    • Nodal points
      • Width of nose
      • Distance between eyes
      • Depth of eye sockets
      • Length of mouth
    • Compare to similar photo in database
  • 9. Limitations
    • Lighting conditions
    • Direction
    • Skew
    • Expression
  • 10. 3D Solution
    • Forefront of facial scan technology
    • Detects orientation, pose, size
    • Some technologies project 3D mesh on face
    • Others transform face to known view
    • Creates depth
    • Avoids lighting, makeup, orientation issues
  • 11. 3D Solution
    • vector template
    • local feature analysis
    • surface texture analysis
  • 12. 3D Solution
    • Skin Texture Analysis
    • High-res image taken of patch of skin
    • Broken into blocks
    • Algorithm converts blocks into distances
      • Finds lines, pores, skin blemishes, texture
  • 13.