International audienceThis paper presents a 3-second 3D reconstruction algorithm able to process a dense geometric approximation of the surrounding environment. Image acquisition is done by a stereoscopic panoramic system with two color catadioptric cameras mounted on a mobile robot. An algorithm running on a Graphical Processing Unit (GPU) processes the 3D reconstruction in real-time. As the camera system moves, new views of the scene are used to improve the model of the scene thanks to an incremental algorithm. Then, the performance of our approach is evaluated using a synthetic image sequenc
The paper deals with the problem of the definition and the automatic construction of a 3D elevation ...
International audienceIncreasing the field of view of camera is an important issue practical in robo...
IEEE Xplore Compliant Files 979-10-92279-01-6International audienceIn this article we propose a new ...
3D reconstruction of an unknown scene is a classical computer vision problem. Usual solutions, which...
International audienceA stereoscopic catadioptric sensor and associated algorithms are presented to ...
International audienceFully automatic 3D modeling from a catadioptric image sequence has rarely been...
International audienceTo close the loop between motion and vision, tracked visual features must rema...
In this paper, a 3D scene reconstruction by using stereo vision is presented. Stereo camera paramete...
We present an approach for automatic 3D reconstruction of outdoor scenes using computer vision techn...
This paper presents a novel self-localization technique for mobile robots using a central catadioptr...
This paper describes an online algorithm for generating com-pact 3D maps of mobile robot environment...
Mobile robotics can be successfully applied for 3D environment exploration and reconstruction. Here,...
Machine learning methods and object recognition algorithms have improved much in the past decade, bu...
A fast and interactive implementation for camera pose registration and 3D point reconstruction over ...
Copyright © 2010 J. P. Lüke et al. This is an open access article distributed under the Creative Co...
The paper deals with the problem of the definition and the automatic construction of a 3D elevation ...
International audienceIncreasing the field of view of camera is an important issue practical in robo...
IEEE Xplore Compliant Files 979-10-92279-01-6International audienceIn this article we propose a new ...
3D reconstruction of an unknown scene is a classical computer vision problem. Usual solutions, which...
International audienceA stereoscopic catadioptric sensor and associated algorithms are presented to ...
International audienceFully automatic 3D modeling from a catadioptric image sequence has rarely been...
International audienceTo close the loop between motion and vision, tracked visual features must rema...
In this paper, a 3D scene reconstruction by using stereo vision is presented. Stereo camera paramete...
We present an approach for automatic 3D reconstruction of outdoor scenes using computer vision techn...
This paper presents a novel self-localization technique for mobile robots using a central catadioptr...
This paper describes an online algorithm for generating com-pact 3D maps of mobile robot environment...
Mobile robotics can be successfully applied for 3D environment exploration and reconstruction. Here,...
Machine learning methods and object recognition algorithms have improved much in the past decade, bu...
A fast and interactive implementation for camera pose registration and 3D point reconstruction over ...
Copyright © 2010 J. P. Lüke et al. This is an open access article distributed under the Creative Co...
The paper deals with the problem of the definition and the automatic construction of a 3D elevation ...
International audienceIncreasing the field of view of camera is an important issue practical in robo...
IEEE Xplore Compliant Files 979-10-92279-01-6International audienceIn this article we propose a new ...