Bayesian model estimation and selection for epipolar geometry and generic manifold fitting
Computer vision often involves estimating models from visual input. Sometimes it is possible to fit several different models or hypotheses to a set of data, and a decision must be made as to which is most appropriate. This paper explores ways of automating the model selection process with specific e...
Main Author: | Torr, PHS |
---|---|
Format: | Journal article |
Language: | English |
Published: |
Springer
2002
|
Similar Items
-
A case against epipolar geometry
by: Zisserman, A, et al.
Published: (2005) -
Learning epipolar geometry from image sequences
by: Wexler, Y, et al.
Published: (2003) -
Motion from point matches using affine epipolar geometry
by: Shapiro, LS, et al.
Published: (2005) -
3D motion recovery via affine Epipolar geometry
by: Shapiro, LS, et al.
Published: (1995) -
Robust Cooperative Strategy for Contour Matching Using Epipolar Geometry
by: Yuan, Miaolong, et al.
Published: (2003)