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» Fragmentation in the Vision of Scenes
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ICPR
2008
IEEE
16 years 16 days ago
Flexible object recognition in cluttered scenes using relative point distribution models
This paper introduces an edge-based object recognition method that is robust with respect to clutter, occlusion and object deformations. The method combines the use of local featu...
Alexandros Bouganis, Murray Shanahan
ICCV
2005
IEEE
15 years 11 months ago
Learning Hierarchical Models of Scenes, Objects, and Parts
We describe a hierarchical probabilistic model for the detection and recognition of objects in cluttered, natural scenes. The model is based on a set of parts which describe the e...
Erik B. Sudderth, Antonio B. Torralba, William T. ...
BMVC
1998
15 years 7 months ago
Efficient Dense Matching for Textured Scenes using Region Growing
We present a simple and efficient dense matching method based on region growing techniques, which can be applied to a wide range of globally textured images like many outdoor scen...
Maxime Lhuillier
BMVC
2010
15 years 4 months ago
Moving Camera Registration for Multiple Camera Setups in Dynamic Scenes
Many practical applications require an accurate knowledge of the extrinsic calibration (i.e., pose) of a moving camera. The existing SLAM and structure-from-motion solutions are n...
Evren Imre, Jean-Yves Guillemaut, Adrian Hilton
CVPR
2012
IEEE
13 years 8 months ago
Learning sparse covariance patterns for natural scenes
For scene classification, patch-level linear features do not always work as well as handcrafted features. In this paper, we present a new model to greatly improve the usefulness ...
Liwei Wang, Yin Li, Jiaya Jia, Jian Sun, David Wip...