this explains the face detection technique....we will cover face recognition in next upload...thank you..

1. FACE RECOGNITOIN TECHNIQUE REVIEW-1 By:Suvigya Tripathi (09BEC094) Ankit V. Gupta (09BEC106) Guided By:Prof. Bhupendra Fataniya Dept. of Electronics and Communication Engineering, Nirma University at Ahmedabad.

3. The History.

4. Challenges.

5. 2D-Image Scan.

6. Biometrics : Skin Texture Analysis.

7. Applications.OUTLINE

9. Face Detection: differentiate a human face from the background of the image or a real time video.

10. Feature Detection: record its features.

14. He was proud of this work, but because the funding was provided by an unnamed intelligence agency that did not allow much publicity, little of the work was published.THE HISTORY

16. First step in many Human Computer Interaction systems.

17. Expression Recognition

18. Cognitive State/Emotional State Recognition

19. First step in many surveillance and security systems.

20. Video coding

21. Automatic Target Recognition(ATR)IMPORTANCE OF FACE DETECTION

23. Out – Plane Rotation

24. Lighting

25. Aging Effects

26. Facial Expressions

27. Face Covered by long Hairs or Hand. CHALLENGES

28. CHALLENGES

33. Skin colors, edges and shapes fall into this category.FEATURE INVARIANT METHOD

35. Distance between the eyes

36. Width of the nose

37. Depth of the eye sockets

38. The shape of the cheekbones

41. Pros: Simple Cons: Templates needs to be initialized near the face images Difficult to enumerate templates for different poses (similar to knowledge-based methods) TEMPLATE MATCHING METHOD-SUMMARY

45. A good algorithm can handle complex backgrounds.

46. It is relatively insensitive to changes in expression, including blinking, frowning or smiling

47. Has the ability to compensate for mustache or beard growth and the appearance of eyeglasses.SKIN TEXTURE ANALYSIS:ADVANTAGES

48. Security measure at ATM’s Digital Cameras Public Surveillance (CCTV’s) at Airports, Hospitals, etc. Televisions and computers can save energy by reducing the brightness. APPLICATIONS

50. Face Identification: Given a face image that belongs to a person in a database, tell whose image it is.

51. Face Verification: Given a face image that might not belong to the database, verify whether it is from the person it is claimed to be in the database. FACE RECOGNITION:OVERVIEW

53. How Stuff Works

54. www.crazyengineers.com

55. Kimmel, Ron. "Three-dimensional face recognition". Retrieved 2005-01-01.

56. ZiyouXiong, Univ. of Illinois at Urbana-ChampaignREFRENCE