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Stereo Imaging with Uncalibrated Camera
20063D 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, 2008We 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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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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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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Fisheye-metalens stereo camera
High Contrast Metastructures XII, 2023Mikhail Y. Shalaginov +7 more
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Stereo-browsing from calibrated cameras
2014Modern 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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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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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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Stereo Vision: Camera Agnostic Asymmetric Stereo
2025 IEEE Intelligent Vehicles Symposium (IV)Joshua Thaler +2 more
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