746 search results - page 89 / 150 » Learning Optical Flow |
ICCV
2007
IEEE
15 years 1 days ago
2007
IEEE
Markov Random Fields (MRFs) are ubiquitous in lowlevel computer vision. In this paper, we propose a new approach to the optimization of multi-labeled MRFs. Similarly to -expansion...
ICIP
2008
IEEE
14 years 11 months ago
2008
IEEE
Reliable segmentation and motion tracking algorithms are required to achieve gesture detection and tracking for human-machine interaction. In this paper we present an efficient me...
ICIP
2004
IEEE
14 years 11 months ago
2004
IEEE
In order to obtain a high resolution image from a compressed video sequence it is essential to correctly estimate the motion vectors in the sequence. Most of the approaches report...
ICIP
2002
IEEE
14 years 11 months ago
2002
IEEE
Motion confidence measures aim to identify how well an image patch determines image motion. These kinds of confidence measures are commonly used to select points for optical flow ...
ICPR
2008
IEEE
14 years 11 months ago
2008
IEEE
Vector fields may come from video data (via optical flow and tracking), from weather phenomena (e.g., wind speed and direction), and from medical imaging. An important component i...