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Traffic counting by stereo camera

2020
Computational stereo vision introduced by Marr is one of the powerful methods to extract three-dimensional (3D) information using multiple images. By applying stereo vision, many kinds of traffic monitoring systems have been developed. In this chapter, we discuss configurations and characteristic of stereo-based traffic monitoring systems especially ...
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Traffic Flow Measurement Using Stereo Slit Camera

IFAC Proceedings Volumes, 2003
Abstract In this paper, we propose a new scheme of one dimensional traffic flow measurement using stereo slit camera. Both slit of stereo configuration are aligned perpendicular to the motion direction. Stereo matching of two line image gives a pseudo cross section of the moving object at one time.
Y. Wakabayashi, M. Aoki
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Stereo Imaging with Uncalibrated Camera

2006
3D images provide more information to human than their 2D counterparts and have many applications in entertainment, scientific data visualization, etc. The ability to generate accurate 3D dynamic scene and 3D movie from uncalibrated cameras is a challenge. We propose a systematic approach to stereo image/video generation.
Xiaokun Li, Chiman Kwan, Baoxin Li
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Stereo matching for calibrated cameras without correspondence

2008 47th IEEE Conference on Decision and Control, 2008
We study the stereo matching problem for reconstruction of the location of 3D-points on an unknown surface patch from two calibrated identical cameras without using any a priori information about the pointwise correspondences. We assume that camera parameters and the pose between the cameras are known.
Helmke, U., Hüper, K., Vences, L.
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Single-Sensor Stereo Camera

1991
Abstract : A conventional stereo camera system usually uses two sensors to capture the two different perspective views of an image to produce stereo effect. The two-camera system has its drawbacks however. This report discusses the approach to the design of a single-camera system to capture and produce a signal on a display for stereo viewing, thus ...
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Continuous Stereo Self-Calibration by Camera Parameter Tracking

IEEE Transactions on Image Processing, 2009
This paper presents a consistent framework for continuous stereo self-calibration. Based on a practical analysis of the sensitivity of stereo reconstruction to camera calibration uncertainties, we identify important parameters for self-calibration.
Dang, Thao   +2 more
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Fisheye-metalens stereo camera

High Contrast Metastructures XII, 2023
Mikhail Y. Shalaginov   +7 more
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Stereo-browsing from calibrated cameras

2014
Modern Structure-from-Motion (SfM) methods enable the registration of a set of cameras and the reconstruction of the corresponding sparse point cloud of the object/location depicted in the input images. Despite the quality of such techniques they often fail where the input point cloud has a very low density thus decreasing the final user experience. On
Baldacci A   +3 more
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An Agile Stereo Camera System

1989
Vision systems are essential for automating tasks such as object recognition, part manipulation, inspection, and measurement. All vision systems are limited by the quality of images they acquire, so choices of cameras and illumination sources generally are made with great care.
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