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» Modeling Scenes with Local Descriptors and Latent Aspects
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CVPR
2006
IEEE
15 years 12 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 7 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 1 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 4 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 3 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...