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» Describing Visual Scenes Using Transformed Objects and Parts
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SPATIALCOGNITION
2000
Springer
13 years 9 months ago
Inference and Visualization of Spatial Relations
We present an approach to spatial inference which is based on the procedural semantics of spatial relations. In contrast to qualitative reasoning, we do not use discrete symbolic m...
Sylvia Wiebrock, Lars Wittenburg, Ute Schmid, Frit...
ACIVS
2006
Springer
13 years 10 months ago
Context-Based Scene Recognition Using Bayesian Networks with Scale-Invariant Feature Transform
Scene understanding is an important problem in intelligent robotics. Since visual information is uncertain due to several reasons, we need a novel method that has robustness to the...
Seung-Bin Im, Sung-Bae Cho
AI
2003
Springer
13 years 11 months ago
A Formal Theory for Describing Action Concepts in Terminological Knowledge Bases
This paper introduces a formal theory for describing actions in terminological knowledge bases, closely related to description logics. It deals in particular with the problem of ad...
Christel Kemke
3DPVT
2006
IEEE
216views Visualization» more  3DPVT 2006»
14 years 6 days ago
Shape Measure for Identifying Perceptually Informative Parts of 3D Objects
We propose a mathematical approach for quantifying shape complexity of 3D surfaces based on perceptual principles of visual saliency. Our curvature variation measure (CVM), as a 3...
Sreenivas R. Sukumar, David Page, Andrei V. Gribok...
CVPR
2007
IEEE
14 years 8 months ago
Composite Models of Objects and Scenes for Category Recognition
This paper presents a method of learning and recognizing generic object categories using part-based spatial models. The models are multiscale, with a scene component that specifie...
David J. Crandall, Daniel P. Huttenlocher