Facial recognition powerpoint

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Facial recognition powerpoint

  1. 1. Facial Recognition System  3 December 2012 Group Members: ZHAO Fangxin CHUI Loksze Wat Tsing Hei
  2. 2. Contents Introduction Development to Facial Future of Facial Applications Survey results ConclusionRecognition development Recognition SystemWAT Tsing Hei Joshua ZHAO Fangxin CHUI Loksze
  3. 3. Introduction to Facial Recognition System   A Computer Application  Automatic identification or verification or a person or an object  Can be used on a digital image or a video  Compares selected facial features from the image and a facial database
  4. 4. Developement  Pioneers of Automated Facial Recognition: Woody Bledsoe, Helen Chan Wolf, and Charles Bisson Development funded by an unnamed intelligence agency that did not allow much publicity Recogition with a “graphics tablet” (GRAFACON or RAND TABLET) Development difficulties: great variability in head rotation and tilt, lighting intensity and angle, facial expression, aging, distance etc. overcome by normalizing distances to represent the face in a frontal orientation through computer
  5. 5. Types of Facial Recognition system 3-dimensional Traditional Skin texture analysis recognition • Some facial recognition • A newly emerging • Another emerging algorithms identify trend, claimed to trend uses the visual facial features by achieve improved details of the skin, as extracting landmarks, accuracies, is three- captured in standard or features, from an dimensional face digital or scanned image of the subjects recognition . This images. This face. Other algorithms technique uses 3D technique, called skin normalize a gallery of sensors to capture texture analysis, turns face images and then information about the the unique lines, compress the face shape of a face. This patterns, and spots data, only saving the information is then apparent in a persons data in the image that used to identify skin into a is useful for face distinctive features on mathematical space. detection. A probe the surface of a image is then face, such as the compared with the contour of the eye face data sockets, nose, and chin.
  6. 6. Software using facial recognition Googles Picasa digital image organizer has a built in face  Sonys Picture Motion Browser (PMB) analyses photo, associates photosrecognition system . It can associate with identical faces so that they can faces with persons, so that queries be tagged accordingly, and can be run on pictures to return all differentiates between photos with pictures with a specific group of one person, many persons and people together. nobody. Facebook includes face recognition Windows Live Photo Gallery includes technology face recognition
  7. 7. Developed applications Undeveloped applicationsUsed in security Used in other Biometric usages Other usagessystems systems Applications of facial recognition Trial a facial Use for visa Used for a portable Modern digitalrecognition system processing device to assist cameras oftenbuilt into borough- people with incorporate a facialwide CCTV system prosopagnosia in detection system recognizing their that allows the acquaintances camera to focusUse facial Use by casinos to Use as a security and measurerecognition catch card counters measure at ATMs, exposure on thesoftware to search and other which would face of the subject,for potential blacklisted capture an image of thus guaranteeing acriminals and individuals your face, and focused portrait ofterrorists compare it to your the person being photo in the bank photographed. Used facial database to confirm recognition your identity. software to prevent voter fraud
  8. 8. Principle
  9. 9.
  10. 10. Online Survey Target:-Hong Kong citizensInformation:-How common is the facial recognition system-Where do people want to use thisSite:https://qtrial.qualtrics.com/SE/?SID=SV_74K8wZP8d QMIUrX
  11. 11. Survey Result  Have you ever use the Facial Recognition System before? 30 25 20 15 No 10 Yes 5 0 1Facial Recognition is not so common,Only half of the people use the system before
  12. 12. Survey Result  Pretend you have not used this system before, which places do you want to use it ? 12 10 8 Yes 6 No 4 2 0 Laptop / Computer. School attendance. Camera / Mobile Entrance of a place. Crime detection. Entrance of a place. phone.Both two groups mainly want try using the system in laptop/computers.
  13. 13. Further Development -Face Recognition Grand Challenge(FRGC) was created in 2006 and becomes 10 times more accurate than before. It can recognize the identical twins-The error rate decreased by one-half every two years
  14. 14. Video http://www.youtube.com/watch?v=RWJ93Mtke7I&feature=
  15. 15. Conclusion Positive:-Fast and convenient in identifying a person- Great use in society: - crime detection - security useNegative:- Errors rate is still not satisfactory- Privacy - personal biometric data kept by the system- Change of facial characteristics – wearing of glasses
  16. 16. References Websites:http://face-rec.org/ - Facial Recognition homepagehttp://en.wikipedia.org/wiki/Wiki
  17. 17. End

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