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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. ...
ICCV
2003
IEEE
16 years 7 months ago
Recognition of Group Activities using Dynamic Probabilistic Networks
Dynamic Probabilistic Networks (DPNs) are exploited for modelling the temporal relationships among a set of different object temporal events in the scene for a coherent and robust...
Shaogang Gong, Tao Xiang
ICRA
2009
IEEE
266views Robotics» more  ICRA 2009»
15 years 3 months ago
CAD-based recognition of 3D objects in monocular images
This paper provides a method for recognizing 3D objects in a single camera image and for determining their 3D poses. A model is trained solely based on the geometry information of ...
Markus Ulrich, Christian Wiedemann, Carsten Steger
GREC
2003
Springer
15 years 11 months ago
Model-Based Chart Image Recognition
In this paper, we introduce a system that aims at recognizing chart images using a model-based approach. First of all, basic chart models are designed for four different chart typ...
Weihua Huang, Chew Lim Tan, Wee Kheng Leow
NIPS
1992
15 years 7 months ago
Filter Selection Model for Generating Visual Motion Signals
Neurons in area MT of primate visual cortex encode the velocity of moving objects. We present a model of how MT cells aggregate responses from V1 to form such a velocity represent...
Steven J. Nowlan, Terrence J. Sejnowski