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» Using Segmentation to Verify Object Hypotheses
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CVPR
2007
IEEE
14 years 9 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»
14 years 2 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
15 years 2 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 9 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 7 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...