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» A Boundary-Fragment-Model for Object Detection
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DICTA
2009
14 years 10 months ago
SIFTing the Relevant from the Irrelevant: Automatically Detecting Objects in Training Images
Many state-of-the-art object recognition systems rely on identifying the location of objects in images, in order to better learn its visual attributes. In this paper, we propose fo...
Edmond Zhang, Michael Mayo
ESA
2006
Springer
111views Algorithms» more  ESA 2006»
15 years 1 months ago
Kinetic Collision Detection for Convex Fat Objects
We design compact and responsive kinetic data structures for detecting collisions between n convex fat objects in 3-dimensional space that can have arbitrary sizes. Our main result...
Mohammad Ali Abam, Mark de Berg, Sheung-Hung Poon,...
CLOR
2006
15 years 1 months ago
The Trace Model for Object Detection and Tracking
We introduce a stochastic model to characterize the online computational process of an object recognition system based on a hierarchy of classifiers. The model is a graphical netwo...
Sachin Gangaputra, Donald Geman
MVA
2000
113views Computer Vision» more  MVA 2000»
14 years 10 months ago
A Detection Method of Cracks and Structural Objects of the Road Surface Image
2 Notation This paper introduces a new detection method of crack and structural objects, whiteline ,joint and manhole of the road surface image based on morphological t,echnique . ...
Naoki Tanaka, Masayo Mouri
PAMI
2008
175views more  PAMI 2008»
14 years 9 months ago
Discriminative Feature Co-Occurrence Selection for Object Detection
This paper describes an object detection framework that learns the discriminative co-occurrence of multiple features. Feature co-occurrences are automatically found by Sequential F...
Takeshi Mita, Toshimitsu Kaneko, Björn Stenge...