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» Non-Parametric Probabilistic Image Segmentation
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CVPR
2006
IEEE
15 years 4 months ago
Depth from Familiar Objects: A Hierarchical Model for 3D Scenes
We develop an integrated, probabilistic model for the appearance and three-dimensional geometry of cluttered scenes. Object categories are modeled via distributions over the 3D lo...
Erik B. Sudderth, Antonio B. Torralba, William T. ...
111
Voted
SCALESPACE
2007
Springer
15 years 4 months ago
Non-negative Sparse Modeling of Textures
This paper presents a statistical model for textures that uses a non-negative decomposition on a set of local atoms learned from an exemplar. This model is described by the varianc...
Gabriel Peyré
110
Voted
PAMI
2007
241views more  PAMI 2007»
14 years 9 months ago
Extreme Compression and Modeling of Bidirectional Texture Function
The recent advanced representation for realistic real-world materials in virtual reality applications is the Bidirectional Texture Function (BTF) which describes rough texture app...
Michal Haindl, Jirí Filip
83
Voted
SCVMA
2004
Springer
15 years 3 months ago
2D Motion Description and Contextual Motion Analysis: Issues and New Models
Abstract. In this paper, several important issues related to visual motion analysis are addressed with a focus on the type of motion information to be estimated and the way context...
Patrick Bouthemy
109
Voted
ICPR
2008
IEEE
15 years 11 months ago
Joint visual vocabulary for animal classification
This paper presents a method for visual object categorization based on encoding the joint textural information in objects and the surrounding background, and requiring no segmenta...
Alireza Tavakoli Targhi, Andrzej Pronobis, Heydar ...