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
Facial Recognition System

        31 October 2012

            Group Members:
             ZHAO Fangxin
             CHUI Loksze
             Wat Tsing Hei
Contents
                               

Introduction
               Development
  to Facial                                                     Future
                 of Facial   Applications   Survey results                 Conclusion
Recognition                                                  development
               Recognition
   System




WAT Tsing Hei Joshua             ZHAO Fangxin                      CHUI Loksze
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
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
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                  accuracies, is three-       captured in standard
   landmarks, or               dimensional face            digital or scanned
   features, from an           recognition . This          images. This
   image of the subject's      technique uses 3D           technique, called skin
   face. Other algorithms      sensors to capture          texture analysis, turns
   normalize a gallery of      information about the       the unique lines,
   face images and then        shape of a face. This       patterns, and spots
   compress the face           information is then         apparent in a person's
   data, only saving the       used to identify            skin into a
   data in the image that      distinctive features on     mathematical space.
   is useful for face          the surface of a
   detection. A probe          face, such as the
   image is then               contour of the eye
   compared with the           sockets, nose, and
   face data                   chin.
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
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

Principle

Online Survey
               
Target:
-Hong Kong citizens
Information:
-How common is the facial recognition system
-Where do people want to use this
Site:
https://qtrial.qualtrics.com/SE/?SID=SV_74K8wZP8d
   QMIUrX
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
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.
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
Video
                                 




http://www.youtube.com/watch?v=RWJ93Mtke7I&feature=
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
References
                   
Websites:
http://face-rec.org/ - Facial Recognition homepage
http://en.wikipedia.org/wiki/Wiki

End

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Facial powerpoint

  • 1.  Facial Recognition System  31 October 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 accuracies, is three- captured in standard landmarks, or dimensional face digital or scanned features, from an recognition . This images. This image of the subject's technique uses 3D technique, called skin face. Other algorithms sensors to capture texture analysis, turns normalize a gallery of information about the the unique lines, face images and then shape of a face. This patterns, and spots compress the face information is then apparent in a person's data, only saving the used to identify skin into a data in the image that distinctive features on mathematical space. is useful for face the surface of a detection. A probe face, such as the image is then contour of the eye compared with the sockets, nose, and face data 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
  • 9.
  • 10. Online Survey  Target: -Hong Kong citizens Information: -How common is the facial recognition system -Where do people want to use this Site: https://qtrial.qualtrics.com/SE/?SID=SV_74K8wZP8d QMIUrX
  • 11. 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
  • 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. 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. Video  http://www.youtube.com/watch?v=RWJ93Mtke7I&feature=
  • 15. 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
  • 16. References  Websites: http://face-rec.org/ - Facial Recognition homepage http://en.wikipedia.org/wiki/Wiki