Face recognition: - PowerPoint PPT Presentation

1 / 22
About This Presentation
Title:

Face recognition:

Description:

The coin that betrayed Louis XVI. 3. Michael Bronstein 3D face recognition. Modern challenges ... 3D data conceals valuable information about identity ... – PowerPoint PPT presentation

Number of Views:63
Avg rating:3.0/5.0
Slides: 23
Provided by: Ale8182
Category:

less

Transcript and Presenter's Notes

Title: Face recognition:


1
Face recognition New technologies, new
challenges
Michael M. Bronstein
2
The coin that betrayed Louis XVI
3
Modern challenges
Is this the same person?
4
What is a face?


GEOMETRIC (3D)
PHOTOMETRIC (2D)
5
What is more important 2D or 3D?


6
What is more important 2D or 3D?


7
Conclusion 1
  • 3D data conceals valuable information about
    identity
  • Less sensitive to external factors (light, pose,
    makeup)
  • More difficult to forge

8
The curse of expressions
9
Is geometry sensitive to expressions?
A
A'
B'
B
EUCLIDEAN DISTANCES A ? B ? A' ? B'
10
Is geometry sensitive to expressions?
A
A'
B'
B
GEODESIC DISTANCES d(A,B) ? d'(A',B')
11
Conclusion 2
ERROR DISTRIBUTION
  • Extrinsic (Euclidean) geometry is sensitive to
    expressions
  • Intrinsic (Riemannian) geometry is insensitive to
    expressions
  • Expression-invariant face recognition using
    intrinsic geometry

12
Mapmakers nightmare
Find a planar map of the Earth which preserves
the geodesic distances in the best way
B
B'
A'
A
d(A,B) ? A' ? B'
PLANE (EUCLIDEAN)
SPHERE (RIEMANNIAN)
13
Isometric embedding
A
B
A'
B'
EMBEDDING
EUCLIDEAN
RIEMANNIAN
Expression-invariant representation of face
canonical form
14
A remark from Gauss
Theorema Egregium (Remarkable Theorem) A face
has non-zero curvature, therefore, it is not
isometric to the plane.
Result the embedding is only approximately
isometric, and therefore, introduces an error.
Carl Friedrich Gauss  (1777-1855)
15
How to canonize a person?
CANONIZATION
SMOOTHING
CROPPING
3D SURFACE ACQUISITION
16
Examples of canonical forms
17
Canonical forms
ORIGINAL SURFACES
CANONICAL FORMS
Michael
Alex
18
Telling identical twins apart
Michael
Alex
19
(No Transcript)
20
CAMERA
PROJECTOR
CARD READER
MONITOR
21
SCANNED FACE
CANONICAL FORM
DISTANCES
22
Towards more accurate recognition
  • Embed one surface into another instead
  • of using a common embedding space
  • Avoid representation error
  • Beautiful theory related to the
  • Gromov-Hausdorff metric
Write a Comment
User Comments (0)
About PowerShow.com