Face Recognition - PowerPoint PPT Presentation

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Face Recognition

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These nodal points are then compared to the nodal points computed from a database of pictures in order to find a match. – PowerPoint PPT presentation

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Title: Face Recognition


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(No Transcript)
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Face Recognition
  • By Thanh Do
  • Warren Ju

3
What is Face Recognition?
  • Facial recognition systems are computer-based
    security systems that are able to automatically
    detect and identify human faces.

4
  • The development stage for facial recognition
    began in the late 1980s and commercially
    available systems were made available in the
    1990s. While many people first heard about facial
    recognition after September 11th, 2001, football
    fans were introduced to it at the 2004 Super Bowl.

5
How does it work?
  • The first step for a facial recognition system is
    to recognize a human face and extract it fro the
    rest of the scene.
  • Next, the system measures nodal points on the
    face, (such as the distance between the eyes, the
    shape of the cheekbones and other distinguishable
    features.)
  • These nodal points are then compared to the nodal
    points computed from a database of pictures in
    order to find a match.

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Video
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Pros of Face recognition
  • Anywhere that you can put a camera, you can
    potentially use a facial recognition system. Many
    cameras can be installed throughout a location to
    maximize security coverage without disrupting
    traffic flow.
  • Face recognition systems can be installed to
    require a person to explicitly step up to a
    camera and get their picture taken, or to
    automatically survey people as they pass by a
    camera. The later mode allows for scanning of
    many people at the same time
  • Video or pictures can be replayed through a
    facial recognition system for surveillance or
    forensics work after an event.
  • Face scanning is not noticeable, can be done at a
    comfortable distance and does not require the
    user to touch anything.

8
Cons of Face recognition
  • Such systems may be fooled by hats, beards,
    sunglasses and face masks
  • Even changes of lighting and camera angle can
    have a significant effect on the accuracy of 2D
    systems
  • Some people view mass-scale facial recognition
    cameras as the ultimate big brother.

9
Effective?
  • false positives which means wrongly matching
    innocent people with photos in the database
  • false negatives not catching people even when
    their photo is in the database
  • if a subject's face is stored in the database, a
    disguise or a minor change in appearance or even
    an unusual facial expression can confuse the
    system.

10
Mission Impossible?
  • Facial Disguise?
  • -Only possible in Hollywood.
  • -Also too expensive.

11
What about other Biometric systems?
  • Though Iris Scan, Finger Print and Hand Geometry
    biometric system have proven to be effective, it
    requires cooperation from the person being
    scanned.

12
Where can Face Recognition be found?
  • ATM machines-Face recognition at ATM machines
    prevents fraud identification and eliminates the
    usage of a personal identification number (PIN)
  • Many people who don't use banks use check cashing
    machines. Facial recognition could eliminate
    possible criminal activity.
  • Voting Places-This eliminate voter fraud.
  • Ex Mexican Government (Presidential Election)

13
Privacy V.S. National Security
  • The main issue concerning face recognition is
    Privacy V.S. National Security
  • Giving your consent to be scanned in order to
    live in a safer place.

14
Last Video
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Show of hands, who believe this system
would work to catch terrorists and criminals?
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THE END
  • Big Brother is watching you!!
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