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» Probabilistic Modeling and Recognition of 3-D Objects
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ECCV
1992
Springer
13 years 11 months ago
Data and Model-Driven Selection using Color Regions
A key problem in model-based object recognition is selection, namely, the problem of determining which regions in the image are likely to come from a single object. In this paper w...
Tanveer Fathima Syeda-Mahmood
ICPR
2004
IEEE
14 years 8 months ago
A Strongly Coupled Architecture for Contextual Object and Scene Identification
The context-centered approach to object detection and recognition is based on the intuition that the contextual information of real-world scenes provides relevant information for ...
James J. Clark, Tina Ehtiati
WACV
2012
IEEE
12 years 3 months ago
Simultaneous inference of activity, pose and object
Human movements are important cues for recognizing human actions, which can be captured by explicit modeling and tracking of actor or through space-time low-level features. Howeve...
Furqan M. Khan, Vivek Kumar Singh, Ram Nevatia
CCIA
2005
Springer
14 years 1 months ago
Classifying Natural Objects on Outdoor Scenes
We propose an hybrid and probabilistic classification of image regions belonging to scenes primarily containing natural objects, e.g. sky, trees, etc. as a first step in solving ...
Anna Bosch, Xavier Muñoz, Joan Martí...
ICRA
2007
IEEE
140views Robotics» more  ICRA 2007»
14 years 2 months ago
Recognising and Modelling Landmarks to Close Loops in Outdoor SLAM
Abstract— In this paper, simultaneous localisation and mapping (SLAM) is combined with landmark recognition to close large loops in unstructured, outdoor environments. Camera and...
Fabio T. Ramos, Juan Nieto, Hugh F. Durrant-Whyte