238 search results - page 7 / 48 » Learning for Optical Flow Using Stochastic Optimization |
DAGM
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. Confidence measures are important for the validation of optical flow fields by estimating the correctness of each displacement vector. There are several frequently used c...
ICCV
2009
IEEE
15 years 20 days ago
2009
IEEE
We propose an algorithm for large displacement opti-
cal flow estimation which does not require the commonly
used coarse-to-fine warping strategy. It is based on a
quadratic rel...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
Abstract. Variational problems, which are commonly used to solve lowlevel vision tasks, are typically minimized via a local, iterative optimization strategy, e.g. gradient descent....
SCVMA
2004
Springer
14 years 1 months ago
2004
Springer
We introduce a generative model of dense flow fields within a layered representation of 3-dimensional scenes. Using probabilistic inference and learning techniques (namely, varia...
ICPR
2008
IEEE
14 years 9 months ago
2008
IEEE
We present a simple but efficient model for object segmentation in video scenes that integrates motion and color information in a joint probabilistic framework. Optical flow is mo...