Results 221 to 230 of about 28,268 (266)
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Environment modeling with stereo vision
2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566), 2005We consider the problem of creating compact surface-based environment models from stereo vision images taken from a stereo-camera equipped mobile robot. The stereo images can be quite complex and correlation stereo suffers from considerable noise at ranges over a few metres.
Don Ray Murray, James J. Little
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Gesture recognition by stereo vision
Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia, 2010Recently a lot of hand held devices have been commercially employed, but they suffer from the problems such as un-natural interaction and comfort of use. The computer vision based HCI (Human Computer Interaction) is an effective and straightforward method. We have used a new effective gesture recognition method with the stereo vision technique.
Jay Shankar Prasad +5 more
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A Correlation Chip for Stereo Vision
Procedings of the British Machine Vision Conference 1994, 1994This paper gives an example of how computer vision algorithms can be reformulated to exploit correlation based hardware without compromising the underlying principles of the algorithm. The work shows results of the "stretch-correlation" algorithm for calibrated stereo depth estimation and goes on to discuss the development of a convolution chip for ...
Richard A. Lane +2 more
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Active stereo vision and cyclotorsion
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition CVPR-94, 1994When a particular point is fixated by an active stereo system different portions of the world are brought into interocular alignment. This region is known as the horoptor. Through an examination of the horoptor under different viewing conditions it is demonstrated that for certain binocular tasks it is desirable to manipulate the horoptor by rotating ...
Michael R. M. Jenkin, John K. Tsotsos
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String matching for stereo vision
Pattern Recognition Letters, 1989Abstract In this paper, we present a new approach to the problem of stereo matching essentially based on the comparison of two strings. This stereo matching process consists of two parts: first the Global Matching, which deals with the vertical columns, provides an interval; secondly, the Local Matching works between the horizontal epipolar lines to ...
Hua Zhi Dan, Bernard Dubuisson
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Error analysis in stereo vision
1997This paper presents a new algorithm for error analysis in stereo vision based measurements. A framework for investigating the effects of various parameters has been proposed. It may also be applied for analysing coupled multivariate regression systems after suitable modifications.
R. S. Ramakrishna, B. Vaidyanathan
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Trinocular divergent stereo vision
Proceedings of 13th International Conference on Pattern Recognition, 1996This paper presents a new camera arrangement for an autonomous vehicle. This system consists of three cameras: two cameras with divergent optical axes and 4-mm wide angle lenses provide the system with an overview of the traffic scene, and a third camera with a 16-mm telelens is used to obtain more detailed information in the central field of view.
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[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition, 2003
It is difficult to obtain sufficient accuracy in view of the outdoor environment to perform 3D stereo measurement. The authors propose a method which involves moving a single camera and prolonging the base line, then measuring the motion parameters of the camera by image correspondence.
Hironobu Takahashi, Fumiaki Tomita
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It is difficult to obtain sufficient accuracy in view of the outdoor environment to perform 3D stereo measurement. The authors propose a method which involves moving a single camera and prolonging the base line, then measuring the motion parameters of the camera by image correspondence.
Hironobu Takahashi, Fumiaki Tomita
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A practical stereo vision system
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2002A high-speed, physically robust stereo ranging system is built. Experiences with this system on several autonomous robot vehicles are described. A custom built, trinocular stereo jig and three specially modified charge-coupled device cameras are used. Stereo matching is performed using the sum-of-sum-of-squared differences technique. >
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Structural matching for stereo vision
[1988 Proceedings] 9th International Conference on Pattern Recognition, 2003An approach for solving the stereo correspondence problem is suggested that is based on extracting local image structures and matching similar structures between two images. The individual matches are represented as nodes in a graph. Arcs in this graph represent local photometric, geometrical, and topological similarities between the two images.
Radu Horaud, Thomas Skordas
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