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» Modeling Scenes with Local Descriptors and Latent Aspects
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CVPR
2006
IEEE
16 years 1 months ago
Putting Objects in Perspective
Image understanding requires not only individually estimating elements of the visual world but also capturing the interplay among them. In this paper, we provide a framework for p...
Derek Hoiem, Alexei A. Efros, Martial Hebert
ICRA
2010
IEEE
227views Robotics» more  ICRA 2010»
14 years 9 months ago
Efficient multi-view object recognition and full pose estimation
We present an approach for efficiently recognizing all objects in a scene and estimating their full pose from multiple views. Our approach builds upon a state of the art single-vie...
Alvaro Collet, Siddhartha S. Srinivasa
MMM
2011
Springer
228views Multimedia» more  MMM 2011»
14 years 3 months ago
A Semantic Higher-Level Visual Representation for Object Recognition
Having effective methods to access the images with desired object is essential nowadays with the availability of huge amount of digital images. We propose a semantic higher-level ...
Ismail Elsayad, Jean Martinet, Thierry Urruty, Cha...
IROS
2008
IEEE
187views Robotics» more  IROS 2008»
15 years 6 months ago
Monocular visual odometry in urban environments using an omnidirectional camera
— We present a system for Monocular Simultaneous Localization and Mapping (Mono-SLAM) relying solely on video input. Our algorithm makes it possible to precisely estimate the cam...
Jean-Philippe Tardif, Yanis Pavlidis, Kostas Danii...
HRI
2006
ACM
15 years 5 months ago
Structural descriptions in human-assisted robot visual learning
The paper presents an approach to using structural descriptions, obtained through a human-robot tutoring dialogue, as labels for the visual object models a robot learns. The paper...
Geert-Jan M. Kruijff, John D. Kelleher, Gregor Ber...