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Facial recognition powerpoint

  1.  Facial Recognition System  3 December 2012 Group Members: ZHAO Fangxin CHUI Loksze Wat Tsing Hei
  2. Contents  Introduction Development to Facial Future of Facial Applications Survey results Conclusion Recognition development Recognition System WAT Tsing Hei Joshua ZHAO Fangxin CHUI Loksze
  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. 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. 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 subject's 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 person's 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. Software using facial recognition Google's Picasa digital image organizer has a built in face  Sony's Picture Motion Browser (PMB) analyses photo, associates photos recognition 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. Developed applications Undeveloped applications Used in security Used in other Biometric usages Other usages systems systems Applications of facial recognition  Trial a facial Use for visa Used for a portable Modern digital recognition system processing device to assist cameras often built into borough- people with incorporate a facial wide CCTV system prosopagnosia in detection system recognizing their that allows the acquaintances camera to focus Use facial Use by casinos to Use as a security and measure recognition catch card counters measure at ATM's, exposure on the software to search and other which would face of the subject, for potential blacklisted capture an image of thus guaranteeing a criminals and individuals your face, and focused portrait of terrorists 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.  Principle
  9. Online Survey  Target: -Hong Kong citizens Information: -How common is the facial recognition system -Where do people want to use this Site: QMIUrX
  10. Survey Result  Have you ever use the Facial Recognition System before? 30 25 20 15 No 10 Yes 5 0 1 Facial Recognition is not so common, Only half of the people use the system before
  11. 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.
  12. 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
  13. Video 
  14. Conclusion  Positive: -Fast and convenient in identifying a person - Great use in society: - crime detection - security use Negative: - Errors rate is still not satisfactory - Privacy - personal biometric data kept by the system - Change of facial characteristics – wearing of glasses
  15. References  Websites: - Facial Recognition homepage
  16.  End