Image Recognition
Pose Illumination and Expression database
Eigenfaces
Performance
Facial Recognition Facial Feature Recognition and Face Matching
Past Technologies <ul><li>Humans have innate ability </li></ul><ul><li>1960s science began teaching computers </li></ul><u...
Basics <ul><li>Recognize a face </li></ul><ul><li>Recognize features of face </li></ul><ul><li>Measure facial variables </...
Basics <ul><li>Landmarks </li></ul><ul><li>Nodal points </li></ul><ul><ul><li>Width of nose </li></ul></ul><ul><ul><li>Dis...
Limitations <ul><li>Lighting conditions </li></ul><ul><li>Direction </li></ul><ul><li>Skew </li></ul><ul><li>Expression </...
3D Solution <ul><li>Forefront of facial scan technology </li></ul><ul><li>Detects orientation, pose, size </li></ul><ul><l...
3D Solution <ul><li>vector template   </li></ul><ul><li>local feature analysis </li></ul><ul><li>surface texture analysis ...
3D Solution <ul><li>Skin Texture Analysis </li></ul><ul><li>High-res image taken of patch of skin </li></ul><ul><li>Broken...
 
Upcoming SlideShare
Loading in...5
×

Dssfhw3

223

Published on

DSSF Group Assignment slides

Published in: Education, Business, Technology
0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total Views
223
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
4
Comments
0
Likes
1
Embeds 0
No embeds

No notes for slide

Dssfhw3

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

    Clipping is a handy way to collect important slides you want to go back to later.

×