Title: ECE 549CS 543: COMPUTER VISON LECTURE 7
1ECE 549/CS 543 COMPUTER VISON LECTURE 7 CAMERA
CALIBRATION III
- MATLAB tutorial
- Linear calibration
- Photometry
Reading Chapters 3 and 4 Slides
http//www-cvr.ai.uiuc.edu/ponce/fall04/lect7.ppt
Programming assignment 1, due Tue. Sep. 21
http//www-cvr.ai.uiuc.edu/ponce/fall04/hw1/hw1.
pdf
2Calibration Problem
3Example Line Fitting
Problem minimize with respect to (a,b,d).
- Minimize E with respect to d
- Minimize E with respect to a,b
where
4Linear Camera Calibration
5Once M is known, you still got to recover the
intrinsic and extrinsic parameters !!!
This is a decomposition problem, not an
estimation problem.
r
- Intrinsic parameters
- Extrinsic parameters
6Degenerate Point Configurations
Are there other solutions besides M ??
- Coplanar points (l,m,n )(P,0,0) or (0,P,0) or
(0,0,P )
- Points lying on the intersection curve of two
quadric - surfaces
straight line twisted cubic
Does not happen for 6 or more random points!
7Analytical Photogrammetry
Non-Linear Least-Squares Methods
- Newton
- Gauss-Newton
- Levenberg-Marquardt
Iterative, quadratically convergent in favorable
situations
8Mobile Robot Localization (Devy et al., 1997)
9Image Formation Radiometry
The light source(s)
The sensor characteristics
The surface normal
The surface properties
The optics
What determines the brightness of an image pixel?
10DEFINITION The radiance is the power traveling
at some point in a given direction per unit area
perpendicular to this direction, per unit solid
angle.
d2P L( P, v ) dA dw
d2P L( P, v ) cosq dA dw
11DEFINITION Angles and Solid Angles
(radians)
(steradians)
12DEFINITION Irradiance
The irradiance is the power per unit area
incident on a surface.
d2PdE dALi( P , vi ) cosqidwi dA
dE Li( P , vi ) cosqi dwi
EsH Li (P, vi) cosqi dwi