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» Using Segmentation to Verify Object Hypotheses
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CVPR
2007
IEEE
14 years 6 months ago
Using Segmentation to Verify Object Hypotheses
We present an approach for object recognition that combines detection and segmentation within a efficient hypothesize/test framework. Scanning-window template classifiers are the ...
Deva Ramanan
CRV
2008
IEEE
116views Robotics» more  CRV 2008»
13 years 11 months ago
Segmentation of Rectangular Objects Lying on an Unknown Background in a Small Preview Scan Image
We describe a method to segment rectangular objects that lie on a slightly textured background of an a-priori unknown colour. Our contribution consists of a fast and accurate back...
Michael Guerzhoy, Hui Zhou
CVPR
2009
IEEE
14 years 11 months ago
Geometric Reasoning for Single Image Structure Recovery
We study the problem of generating plausible interpretations of a scene from a collection of line segments automatically extracted from a single indoor image. We show that we ca...
David C. Lee, Martial Hebert, Takeo Kanade
ECCV
2004
Springer
14 years 6 months ago
Weak Hypotheses and Boosting for Generic Object Detection and Recognition
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
Andreas Opelt, Michael Fussenegger, Axel Pinz, Pet...
IVC
2007
188views more  IVC 2007»
13 years 4 months ago
Integration of deformable contours and a multiple hypotheses Fisher color model for robust tracking in varying illuminant enviro
In this paper, we propose a new technique to perform figure-ground segmentation in image sequences of moving objects under varying illumination conditions. Unlike most of the alg...
Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris...