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» Latent Hierarchical Structural Learning for Object Detection
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ICIP
1999
IEEE
14 years 9 months ago
Trainable Pedestrian Detection
Robust, fast object detection systems are critical to the success of next-generation automotive vision systems. An important criteria is that the detection system be easily config...
Constantine Papageorgiou, Tomaso Poggio
CVPR
2008
IEEE
14 years 9 months ago
Decomposition, discovery and detection of visual categories using topic models
We present a novel method for the discovery and detection of visual object categories based on decompositions using topic models. The approach is capable of learning a compact and...
Mario Fritz, Bernt Schiele
CGF
2002
116views more  CGF 2002»
13 years 7 months ago
Deferred, Self-Organizing BSP Trees
BSP trees and KD trees are fundamental data structures for collision detection in walkthrough environments. A basic issue in the construction of these hierarchical data structures...
Sigal Ar, Gil Montag, Ayellet Tal
EDUTAINMENT
2007
Springer
14 years 1 months ago
Teaching Structured Development of Virtual Reality Systems Using P-VoT
Learning to build and test virtual reality (VR) systems is difficult due to the many required knowledge (e.g. computer graphics, sound processing, simulation, interaction, etc.) an...
Jinseok Seo, Gerard Jounghyun Kim
CVPR
2005
IEEE
13 years 9 months ago
Database-Guided Segmentation of Anatomical Structures with Complex Appearance
The segmentation of anatomical structures has been traditionally formulated as a perceptual grouping task, and solved through clustering and variational approaches. However, such ...
Bogdan Georgescu, Xiang Sean Zhou, Dorin Comaniciu...