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» Object Recognition Using Segmentation for Feature Detection
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CCIA
2010
Springer
13 years 2 months ago
Real-Time Object Segmentation Using a Bag of Features Approach
In this paper, we propose an object segmentation framework, based on the popular bag of features (BoF), which can process several images per second while achieving a good segmentat...
David Aldavert, Arnau Ramisa, Ramon López d...
ROBOCUP
2004
Springer
103views Robotics» more  ROBOCUP 2004»
14 years 1 months ago
A Constructive Feature Detection Approach for Robotic Vision
We describe a new method for detecting features on a marked RoboCup field. We implemented the framework for robots with omnidirectional vision, but the method can be easily adapte...
Felix von Hundelshausen, Michael Schreiber, Ra&uac...
ICCV
2007
IEEE
14 years 9 months ago
How Good are Local Features for Classes of Geometric Objects
Recent work in object categorization often uses local image descriptors such as SIFT to learn and detect object categories. Such descriptors explicitly code local appearance and h...
Michael Stark, Bernt Schiele
CVPR
2006
IEEE
14 years 9 months ago
Multiple Object Class Detection with a Generative Model
In this paper we propose an approach capable of simultaneous recognition and localization of multiple object classes using a generative model. A novel hierarchical representation ...
Krystian Mikolajczyk, Bastian Leibe, Bernt Schiele