248 search results - page 1 / 50 » Controlling Model Complexity in Flow Estimation |
ICCV
2003
IEEE
14 years 6 months ago
2003
IEEE
This paper describes a novel application of Statistical Learning Theory (SLT) to control model complexity in flow estimation. SLT provides analytical generalization bounds suitabl...
DAGM
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. This contribution presents a novel approach to the challenging problem of model selection in motion estimation from sequences of images. New light is cast on parametric m...
RTSS
2000
IEEE
13 years 9 months ago
2000
IEEE
DAGM
2010
Springer
13 years 4 months ago
2010
Springer
The selection of an optical flow method is mostly a choice from among accuracy, efficiency and ease of implementation. While variational approaches tend to be more accurate than lo...
CVPR
1997
IEEE
14 years 6 months ago
1997
IEEE
A framework for learning parameterized models of optical flow from image sequences is presented. A class of motions is represented by a set of orthogonal basis flow fields that ar...