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ICRA
1999
IEEE
155views Robotics» more  ICRA 1999»
13 years 12 months ago
3-D Cueing: A Data Filter for Object Recognition
This paper presents a novel method for quickly filtering range data points to make object recognition in large 3D data sets feasible. The general approach, called "3D cueing,...
Owen T. Carmichael, Martial Hebert
VRML
2003
ACM
14 years 24 days ago
Behavior3D: an XML-based framework for 3D graphics behavior
Success of 3D applications on the Web inherently depends on object behavior and interaction. Current Web3D formats often fall short in supporting behavior modeling. This paper int...
Raimund Dachselt, Enrico Rukzio
AAAI
1994
13 years 9 months ago
Applying VC-Dimension Analysis To 3D Object Recognition from Perspective Projections
We analyze the amount of information needed to carry out model-based recognition tasks, in the context of a probabilistic data collection model, and independently of the recogniti...
Michael Lindenbaum, Shai Ben-David
ICRA
2010
IEEE
153views Robotics» more  ICRA 2010»
13 years 6 months ago
High-speed 3D object recognition using additive features in a linear subspace
— In this paper we propose a method of high-speed 3D object recognition using linear subspace method and our 3D features. This method can be applied to partial models with any si...
Asako Kanezaki, Hideki Nakayama, Tatsuya Harada, Y...
ICIP
2010
IEEE
13 years 5 months ago
3D augmented Markov random field for object recognition
In this paper, we propose to use 3D information to augment the Markov random field (MRF) model for object recognition. Conventional MRF for image-based object recognition usually ...
Wei Yu, Ahmed Bilal Ashraf, Yao-Jen Chang, Congcon...