6005 search results - page 889 / 1201 » Graph-Theoretical Methods in Computer Vision |
180
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ECCV
2006
Springer
16 years 8 months ago
2006
Springer
Given a set of images of scenes containing multiple object categories (e.g. grass, roads, buildings) our objective is to discover these objects in each image in an unsupervised man...
176
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ECCV
2006
Springer
16 years 8 months ago
2006
Springer
Abstract. We formulate a robust method using Expectation Maximization (EM) to address the problem of dense photometric stereo. Previous approaches using Markov Random Fields (MRF) ...
175
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ECCV
2002
Springer
16 years 8 months ago
2002
Springer
We describe an automatic method for building optimal 3D statistical shape models from sets of training shapes. Although shape models show considerable promise as a basis for segmen...
161
Voted
ECCV
2002
Springer
16 years 8 months ago
2002
Springer
In this paper we propose an extension to the standard Markov Random Field (MRF) model in order to handle layers. Our extension, which we call a Factorial MRF (FMRF), is analogous t...
168
click to vote
ECCV
2002
Springer
16 years 8 months ago
2002
Springer
Abstract. In this paper, we present an approach for image segmentation, based on the existing Active Snake Model and Watershed-based Region Merging. Our algorithm includes initial ...