Recover the camera matrices from estimated fundamental matrix F
Use the camera matrices to compute the point correspondences.
Without K1 and K2 (internal calibration),
recover a projective transforme
With K1 and K2,
recover the metric reconstruction.
The epipolar constraint defines a line,
since
x2^T F x1 = l1^T x1 = 0
An epipolar line corresponding to the point x2,
because l1^T x1 = 0
Thus
x2 is on the epipolar line
A point e is epipole,
when the epipolar lines meet at this point e.
Must satisfy:
F e1 = 0
or
e2^T F = 0
Use the camera matrices to compute the point correspondences.
Without K1 and K2 (internal calibration),
recover a projective transforme
With K1 and K2,
recover the metric reconstruction.
The epipolar constraint defines a line,
since
An epipolar line corresponding to the point x2,
because l1^T x1 = 0
Thus
x2 is on the epipolar line
A point e is epipole,
when the epipolar lines meet at this point e.
Must satisfy:
F e1 = 0
or
e2^T F = 0
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