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Immersive Automotive Stereo Vision
2021Recently, the first in-car augmented reality (AR) system has been introduced to the market. It features various virtual 3D objects drawn on top of a 2D live video feed, which is displayed on a central display inside the vehicle. Our goal with this thesis is to develop an approach that allows to not only augment a 2D video, but to reconstruct a 3D scene
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Microsaccades for Neuromorphic Stereo Vision
2018Depth perception through stereo vision is an important feature of biological and artificial vision systems. While biological systems can compute disparities effortlessly, it requires intensive processing for artificial vision systems. The computing complexity resides in solving the correspondence problem – finding matching pairs of points in the two ...
Jacques Kaiser +8 more
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Panoramic stereo sphere vision
SPIE Proceedings, 2013Conventional stereo vision systems have a small field of view (FOV) which limits their usefulness for certain applications. While panorama vision is able to “see” in all directions of the observation space, scene depth information is missed because of the mapping from 3D reference coordinates to 2D panoramic image.
Weijia Feng +4 more
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Lucid Workspace for Stereo Vision
Journal of Intelligent & Robotic Systems, 2014In this paper a novel error analysis on the well-known "stereo vision" system used in robots is presented. Based on this analysis, a new concept called the "lucid workspace" is introduced. Definition of such an area in the robot workspace is useful in vision system design.
Morteza Rezaei, Sadjaad Ozgoli
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Stereo vision by self-organization
Biological Cybernetics, 1994We propose a new algorithm for stereoscopic depth perception, where the depth map is the momentary state of a dynamic process. To each image point we assign a set of possible disparity values. In a dynamic process with competition and cooperation, the correct disparity value is selected for each image point.
Dirk Reimann, Hermann Haken
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Subpixel stereo method: a new methodology of stereo vision
Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065), 2002This paper proposes a new methodology of stereo vision: the subpixel stereo method. The method controls the disparity less than one pixel with very small baseline length. Although the accuracy of measured distance is not high, this method is effective for robot vision because of the avoidance of the false correspondence problem, and simple high speed ...
Kazunori Umeda, Takatoshi Takahashi
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Stereo vision for view synthesis
Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1996We propose a new method for view synthesis from real images using stereo vision. The method does not explicitly model scene geometry, and enables fast and exact generation of synthetic views. We also reevaluate the requirements on stereo algorithms for the application of view synthesis and discuss ways of dealing with partially occluded regions of ...
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Three principles in stereo vision
Advanced Robotics, 1986The fundamental ideas underlying various methods for measuring the positions of three-dimensional target points from multiple images are classified into three principles. The most popular principle is triangulation, which is available when the following two conditions are fulfilled: the relative positions among the view points are known and the ...
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Fast Calibrated Stereo Vision for Manipulation
Real-Time Imaging, 1997To make sensors in general, and vision in particular, work for robotic systems we must find ways to extract timely, relevant, accurate information. Building such sensors will require employing any special devices, constraints or calibration that can help us meet these goals. This paper describes in detail issues in developing a calibrated stereo vision
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2000
Multiresolution frameworks have been embraced by the stereo imaging community because of their human-like approach in solving the correspondence problem and reconstructing density maps from binocular images. We describe a method to recover depth information of stereo images based on a multi-channel wavelet transform, where trends in the coefficients ...
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Multiresolution frameworks have been embraced by the stereo imaging community because of their human-like approach in solving the correspondence problem and reconstructing density maps from binocular images. We describe a method to recover depth information of stereo images based on a multi-channel wavelet transform, where trends in the coefficients ...
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