TIP
2010
13 years 5 months ago
2010
Motion-Compensated Frame Interpolation (MCFI) is a technique used extensively for increasing the temporal frequency of a video sequence. In order to obtain a high quality interpola...
CEE
2010
13 years 11 months ago
2010
A motion field generation algorithm using block matching of edge-flag histograms has been developed aiming at its application to motion recognition systems. Use of edge flags inste...
ICMCS
2010
IEEE
14 years 7 days ago
2010
IEEE
Motion-Compensated Frame Interpolation (MCFI) is a technique used extensively for increasing the temporal frequency of a video sequence. In order to obtain a high quality interpol...
BILDMED
2009
14 years 9 days ago
2009
Abstract. Detailed analysis of breathing dynamics, as motivated by radiotherapy of lung tumors, requires accurate estimates of inner lung motion fields. We present an evaluation an...
AIPR
2001
IEEE
14 years 2 months ago
2001
IEEE
When estimating the dense motion field of a video sequence, if little is known or assumed about the content, a limited constraint approach such as optical flow must be used. Since...
DAGM
2006
Springer
14 years 2 months ago
2006
Springer
The estimation of optical flow fields from image sequences is incorporated in a Mumford
EMMCVPR
2009
Springer
14 years 3 months ago
2009
Springer
An edge-sensitive variational approach for the restoration of optical flow fields is presented. Real world optical flow fields are frequently corrupted by noise, reflection artifac...
ICIP
2004
IEEE
15 years 24 days ago
2004
IEEE
In this paper we discuss an algorithm that is able to provide a scalable (multiresolution) representation of the motion field information. It has been recently demonstrated that, ...
ECCV
1998
Springer
15 years 1 months ago
1998
Springer
Abstract. Image sequence processing techniques are used to study exchange, growth, and transport processes and to tackle key questions in environmental physics and biology. These a...
ECCV
2002
Springer
15 years 1 months ago
2002
Springer
Analyzing fluid motion is essential in number of domains and can rarely be handled using generic computer vision techniques. In this particular application context, we address two ...