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== |