Title: Face recognition:
1Face recognition New technologies, new
challenges
Michael M. Bronstein
2The coin that betrayed Louis XVI
3Modern challenges
Is this the same person?
4What is a face?
GEOMETRIC (3D)
PHOTOMETRIC (2D)
5What is more important 2D or 3D?
6What is more important 2D or 3D?
7Conclusion 1
- 3D data conceals valuable information about
identity - Less sensitive to external factors (light, pose,
makeup) - More difficult to forge
8The curse of expressions
9Is geometry sensitive to expressions?
A
A'
B'
B
EUCLIDEAN DISTANCES A ? B ? A' ? B'
10Is geometry sensitive to expressions?
A
A'
B'
B
GEODESIC DISTANCES d(A,B) ? d'(A',B')
11Conclusion 2
ERROR DISTRIBUTION
- Extrinsic (Euclidean) geometry is sensitive to
expressions - Intrinsic (Riemannian) geometry is insensitive to
expressions - Expression-invariant face recognition using
intrinsic geometry
12Mapmakers 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)
13Isometric embedding
A
B
A'
B'
EMBEDDING
EUCLIDEAN
RIEMANNIAN
Expression-invariant representation of face
canonical form
14A 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)
15How to canonize a person?
CANONIZATION
SMOOTHING
CROPPING
3D SURFACE ACQUISITION
16Examples of canonical forms
17Canonical forms
ORIGINAL SURFACES
CANONICAL FORMS
Michael
Alex
18Telling identical twins apart
Michael
Alex
19(No Transcript)
20CAMERA
PROJECTOR
CARD READER
MONITOR
21SCANNED FACE
CANONICAL FORM
DISTANCES
22Towards 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