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» A Discriminative Approach to Robust Visual Place Recognition
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CVPR
2011
IEEE
13 years 4 months ago
Interactively Building a Discriminative Vocabulary of Nameable Attributes
Human-nameable visual attributes offer many advantages when used as mid-level features for object recognition, but existing techniques to gather relevant attributes can be ineffici...
Devi Parikh, Kristen Grauman
ICIP
2007
IEEE
14 years 9 months ago
Object Recognition Based on Dependent Pachinko Allocation Model
Recently the "bag of words" model becomes popular in the approaches to object recognition. These approaches model an image as a collection of local patches called "...
Yuanning Li, Weiqiang Wang, Wen Gao
IROS
2006
IEEE
148views Robotics» more  IROS 2006»
14 years 1 months ago
Environment Understanding: Robust Feature Extraction from Range Sensor Data
— This paper proposes an approach allowing indoor environment supervised learning to recognize relevant features for environment understanding. Stochastic preprocessing methods i...
Antonio Romeo, Luis Montano
ICPR
2008
IEEE
14 years 2 months ago
Model-based visual self-localization using geometry and graphs
In this paper, a geometric approach for global selflocalization based on a world-model and active stereo vision is introduced. The method uses class specific object recognition a...
David Israel Gonzalez-Aguirre, Tamim Asfour, Eduar...
PAMI
2012
11 years 10 months ago
Holistic Context Models for Visual Recognition
— A novel framework to context modeling, based on the probability of co-occurrence of objects and scenes is proposed. The modeling is quite simple, and builds upon the availabili...
Nikhil Rasiwasia, Nuno Vasconcelos