3d face recognition
TRANSCRIPT
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BIOMETRICS
By
G.Dileep
(3D FACE RECOGNITION)
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Introduction
� What is Face R ecognition???
�
Discovery of Nodal Points -1. Distance between the eyes
2. Width of the nose
3. Depth of the eye sockets
4. The shape of the cheekbones5. The length of the jaw line
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3D Face Reconstruction
� Obtaining a 3D face model from a sequence of
2D images
� We have two well known methods in 3D facemodel construction from 2D images
� 1.Morphable model
� 2.Structure from motion
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Tracking facial feature points
� We use 72 facial feature points
� Number of points used in face modeling using
AAM vary in the range 60-100� The feature points detected in one frame are
used as the initial locations for searching in the
next frame resulting in more stable point
correspondences
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3D Shape Reconstruction
� It is a solution for the structure from motion
problem
� Here we have different factorization methodsdepending on the rigidity of the object
� Under the orthographic projection model the
relationship between 2D feature points and 3D
shape is given by W=MS
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Technology
The two major technologies used are
1. View-based
2. View synthesis
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3D - Facial Recognition
1. Detection
2. Alignment
3. Measurement
4. Representation
5. Matching
6. Verification or Identification
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Factors that get in the way of
recognition are
� Significant glare on eyeglasses orwearing sunglasses
� Long hair obscuring the centralpart of the face
� Poor lighting that would causethe face to be over- or under-
exposed� Lack of resolution (image was
taken too far away)
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Current & Future Applications
� Airports and railway stations� Casinos
� Cash points
� Stadiums
� Public transportation
� Financial institutions
� Government offices
� Businesses of all kinds
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Reduction in difficulties
� By controlling a persons facial expression� The control allows the facial recognition
software to operate under ideal conditions
greatly enhancing its accuracy
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As with many developing technologies, the incredible
potential of facial recognition comes with some
drawbacks, but manufacturers are striving to enhance
the usability and accuracy of the systems. Facerecognition promises latest security invents in the
upcoming trends based on bio-metrics and pattern
matching techniques and algorithms.
Conclusion
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Thank You«