CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
A popular approach to pixel labeling problems, such as multiclass image segmentation, is to construct a pairwise conditional Markov random field (CRF) over image pixels where the...
CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
Bottom-up, fully unsupervised segmentation remains a daunting challenge for computer vision. In the cosegmentation context, on the other hand, the availability of multiple images ...
CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
In this paper, we propose a temporal super resolution approach for quasi-periodic image sequence such as human gait. The proposed method effectively combines examplebased and reco...
ICCV
2011
IEEE
12 years 4 months ago
2011
IEEE
We present a method for automatically extracting salient object from a single image, which is cast in an energy minimization framework. Unlike most previous methods that only leve...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
This paper presents a unified model for image editing in terms of Sparse Matrix-Vector (SpMV) multiplication. In our framework, we cast image editing as a linear energy minimizat...
COMGEO
1999
ACM
13 years 4 months ago
1999
ACM
The use of polygonal meshes for the representation of highly complex geometric objects has become the de facto standard in most computer graphics applications. Especially triangle...
PAMI
2008
13 years 4 months ago
2008
Among the most exciting advances in early vision has been the development of efficient energy minimization algorithms for pixel-labeling tasks such as depth or texture computation....
EMMCVPR
1997
Springer
13 years 8 months ago
1997
Springer
We present a general method for matching segmented parts of objects by energy minimization. The energy is designed in order to cope with possible imperfections of the compared segm...
EMMCVPR
1999
Springer
13 years 8 months ago
1999
Springer
Many tasks in computer vision involve assigning a label (such as disparity) to every pixel. These tasks can be formulated as energy minimization problems. In this paper, we conside...
EMMCVPR
2003
Springer
13 years 9 months ago
2003
Springer
Reconstructing a 3-D scene from more than one camera is a classical problem in computer vision. One of the major sources of difficulty is the fact that not all scene elements are v...