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IJCV
2008
151views more  IJCV 2008»
13 years 5 months ago
Describing Visual Scenes Using Transformed Objects and Parts
We develop hierarchical, probabilistic models for objects, the parts composing them, and the visual scenes surrounding them. Our approach couples topic models originally developed...
Erik B. Sudderth, Antonio Torralba, William T. Fre...
ICCV
2011
IEEE
12 years 5 months ago
Scene Recognition and Weakly Supervised Object Localization with Deformable Part-Based Models
Weakly supervised discovery of common visual structure in highly variable, cluttered images is a key problem in recognition. We address this problem using deformable part-based mo...
Megha Pandey, Svetlana Lazebnik
ICCV
2005
IEEE
13 years 10 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. ...
ICCSA
2003
Springer
13 years 10 months ago
Camera Models and Optical Systems Used in Computer Graphics: Part I, Object-Based Techniques
Abstract. Images rendered with traditional computer graphics techniques, such as scanline rendering and ray tracing, appear focused at all depths. However, there are advantages to ...
Brian A. Barsky, Daniel R. Horn, Stanley A. Klein,...
AI
2008
Springer
13 years 11 months ago
Use of Fuzzy Histograms to Model the Spatial Distribution of Objects in Case-Based Reasoning
Abstract. In the context of the RoboCup Simulation League, we describe a new representation of a software agent’s visual perception (“scene”), well suited for case-based reas...
Alan Davoust, Michael W. Floyd, Babak Esfandiari