Title: Stereo models
1Stereo models
- Algebraic models for stereo
2General stereo environment
A world point P seen by two cameras must lie at
the intersection of two rays in space. (The
algebraic model is 4 linear equations in the 3
unknowns x,y,z, enabling solution for x,y,z.) It
is also common to use 3 cameras the reason will
be seen later on.
3Baseline stereo carefully aligned cameras
4Computing (x, y, z) in 3D from corresponding 2D
image points
52 calibrated cameras view the same 3D point at
(r1,c1)(r2,c2)
6Compute closest approach of the two rays use
center point V
Shortest line segment between rays
7Connector is perpendicular to both imaging rays
8Solve for the endpoints of the connector
Scaler mult. Fix book
9Correspondence problem is most difficult aspect
- Can use interest points and cross correlation
- Can limit search to epipolar line
- Can use symbolic matching (Ch 11) to determine
corresponding points (called structural
stereopsis) - apparently humans dont need ss
10Epipolar constraint
With aligned cameras, search for corresponding
point is 1D along corresponding row of other
camera. So, the match for P1 in image I2 must be
along a given row.
11Epipolar constraint for non baseline stereo
computation
Need to know relative orientation of cameras C1
and C2
If cameras are not aligned, a 1D search can still
be determined for the corresponding point. P1,
C1, C2 determine a plane that cuts image I2 in a
line P2 will be on that line.
12Measuring driver body position
4 cameras were used to measure driver position
and posture while driving 2mm accuracy achieved