ECCV
2008
Springer
14 years 12 months ago
2008
Springer
We propose a new algorithm for two-phase, piecewise-smooth segmentation with shape prior. The image is segmented by a binary template that is deformed by a regular geometric transf...
ECCV
2008
Springer
14 years 12 months ago
2008
Springer
ECCV
2008
Springer
14 years 12 months ago
2008
Springer
We propose a spatially continuous formulation of Ishikawa's discrete multi-label problem. We show that the resulting non-convex variational problem can be reformulated as a co...
ECCV
2008
Springer
14 years 12 months ago
2008
Springer
The application of semi-supervised learning algorithms to large scale vision problems suffers from the bad scaling behavior of most methods. Based on the Expectation Regularization...
ECCV
2008
Springer
14 years 12 months ago
2008
Springer
While image registration has been studied in different areas of computer vision, aligning images depicting different scenes remains a challenging problem, closer to recognition tha...
ECCV
2008
Springer
14 years 12 months ago
2008
Springer
Automatically assigning keywords to images is of great interest as it allows one to index, retrieve, and understand large collections of image data. Many techniques have been propo...
ECCV
2008
Springer
14 years 12 months ago
2008
Springer
Distance metric learning has been widely investigated in machine learning and information retrieval. In this paper, we study a particular content-based image retrieval application ...
ECCV
2008
Springer
14 years 12 months ago
2008
Springer
The Shape-from-Shading [SfS] problem infers shape from reflected light, collected using a camera at a single point in space only. Reflected light alone does not provide sufficient ...
ECCV
2008
Springer
14 years 12 months ago
2008
Springer
Assumptions of brightness constancy and spatial smoothness underlie most optical flow estimation methods. In contrast to standard heuristic formulations, we learn a statistical mod...
ECCV
2008
Springer
14 years 12 months ago
2008
Springer
Many recent techniques for low-level vision problems such as image denoising are formulated in terms of Markov random field (MRF) or conditional random field (CRF) models. Nonethel...