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IJCV
2000
136views more  IJCV 2000»
15 years 4 months ago
A Trainable System for Object Detection
This paper presents a general, trainable system for object detection in unconstrained, cluttered scenes. The system derives much of its power from a representation that describes a...
Constantine Papageorgiou, Tomaso Poggio
CVPR
2012
IEEE
13 years 6 months ago
Learning object class detectors from weakly annotated video
Object detectors are typically trained on a large set of still images annotated by bounding-boxes. This paper introduces an approach for learning object detectors from realworld w...
Alessandro Prest, Christian Leistner, Javier Civer...
CVPR
2012
IEEE
13 years 6 months ago
The Shape Boltzmann Machine: A strong model of object shape
A good model of object shape is essential in applications such as segmentation, object detection, inpainting and graphics. For example, when performing segmentation, local constra...
S. M. Ali Eslami, Nicolas Heess, John M. Winn
IJCV
2000
164views more  IJCV 2000»
15 years 4 months ago
Probabilistic Modeling and Recognition of 3-D Objects
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
Joachim Hornegger, Heinrich Niemann
PRESENCE
1998
123views more  PRESENCE 1998»
15 years 3 months ago
A Real-Time Algorithm for Accurate Collision Detection for Deformable Polyhedral Objects
We propose an accurate collision detection algorithm for use in virtual reality applications. The algorithm works for three-dimensional graphical environments where multiple objec...
Yoshifumi Kitamura, Andrew Smith, Haruo Takemura, ...