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Geometric Computer Vision: Difference between revisions

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===Moving plane===
===Moving plane===
For a point on a plane p and a normal vector n, the set of all points on the plane is <math>\{x | (x \cdot n) = d\}</math> where <math>d=(p \cdot n)</math> is the distance to the plane from the origin along the normal vector.
For a point on a plane p and a normal vector n, the set of all points on the plane is <math>\{x | (x \cdot n) = d\}</math> where <math>d=(p \cdot n)</math> is the distance to the plane from the origin along the normal vector.
===Scaling ambiguity===
Depth can be recovered up to a scale factor.
===Non-Linear Least Squares Approach===
Minimize the function:
<math>
\sum [d^2 (p'Fp) + d^2 (pFp')]
</math>
===Locating the epipoles===
==3D Reconstruction==


==Projects==
==Projects==