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Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
DEXA
2004
Springer
14 years 1 months ago
2004
Springer
This work presents a study of the nature of expertise in geology, which demands visual recognition methods to describe and interpret petroleum reservoir rocks. In an experiment usi...
ECCV
2010
Springer
13 years 7 months ago
2010
Springer
The people in an image are generally not strangers, but instead often share social relationships such as husband-wife, siblings, grandparent-child, father-child, or mother-child. F...
GREC
2003
Springer
14 years 27 days ago
2003
Springer
This paper presents a vectorisation system based on the use of strategic knowledge. This one is composed of two parts: a processing library and a graphic user interface. Our proces...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
Attributes are visual concepts that can be detected by machines, understood by humans, and shared across categories. They are particularly useful for fine-grained domains where c...