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 ConclusionRecognition development Recognition SystemWAT 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 subjects 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 persons 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 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
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
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
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
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
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