SLIDE 1
FAR project
- Concerted action with AICP (costs and
people shared)
- Started 1 August 2003 for 2 years.
- FAR Collaborators
FAR Facial Attribute Recognition Jim Austin Advanced Computer - - PowerPoint PPT Presentation
FAR Facial Attribute Recognition Jim Austin Advanced Computer - - PowerPoint PPT Presentation
FAR Facial Attribute Recognition Jim Austin Advanced Computer Architectures Group, University of York Cybula Ltd. FAR project Concerted action with AICP (costs and people shared) Started 1 August 2003 for 2 years. FAR
SLIDE 2
SLIDE 3
People
- University of York
– Dr. Nick Pears, Academic manager – Prof. Jim Austin – Dr. Mike Freeman, Technical and Amadeus Link
- Cybula
– Dr. Nick Walton, Technical Lead. – Dr. Sujeewa Alwis, Commercial manager
- QinetiQ
– Dr. Andy Lewin, Technical Lead.
SLIDE 4
Motivation
- Many applications where recognising a face
(or hand etc.) would be valuable.
- Present systems are expensive, large and
power hungry
- A low cost camera, aimed primarily at face
recognition would be highly beneficial.
- Cybula/UofY has a system that this can be
based on
SLIDE 5
Aims
- To build a low cost 3D camera to primarily
support facial biometrics.
– Selection and evaluation of camera technology – Development of embeddable camera software
- Camera calibration
- 3D image generation
SLIDE 6
Technology
Cybula Camera CM-2
Stereo Lenses Projector Texture lens
SLIDE 7
Technology
- QinetiQ camera
– Special spot projector – Very low power (USB power) – Potential low cost
SLIDE 8
Reconstruction
Objects Stereo camera 1 Stereo camera 2
SLIDE 9
Typical Images
SLIDE 10
Image correction
- Radial Distortion correction
After Before
SLIDE 11
3D reconstruction
- Next stage
– Finding correspondences in the two images – Helped by the spot projector – Must be as fast as possible – Must fit on DSP/FPGA as a core
SLIDE 12
Conclusions
- Camera technology identified
- First problem solved – camera calibration
- Next stage is 3D reconstruction
- Port to hardware