Patent
Three-dimensional reconstruction method
Zhang Zhaoxing,Geng Zheng,Meng Xiangbing,Cao Xuan,Zhang Mei +4 more
- 08 Jun 2016
7
TL;DR: In this article, a three-dimensional reconstruction method comprising the steps that feature point extraction is performed on the images of the same object acquired by each camera acquisition unit of at least two camera acquisition units arranged at different spatial positions is presented.
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Abstract: The invention provides a three-dimensional reconstruction method comprising the steps that feature point extraction is performed on the images of the same object acquired by each camera acquisition unit of at least two camera acquisition units arranged at different spatial positions; and the depth value of a feature point in the coordinate system of each camera acquisition unit is obtained by aiming at each feature point according to the internal and external parameters of each camera acquisition unit and the corresponding relationship of the feature point between the acquisition image coordinate systems of all the camera acquisition units The depth range of the whole object in each camera acquisition unit can be determined through calculation rather than estimation based on the depth value, and the depth range acts as a depth search range of a (double) multi-vision reconstruction method subsequently constructed based on matching price space so that a better reconstruction effect can be achieved
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Citations
Patent
Photographing measurement method and device
Huang He,Yang Junxing,Qiu Dongwei,Jiang Hao,Zhao Yan,Wang Liu,Wang Dongbo,Yang Junbo +7 more
- 25 Jan 2017
TL;DR: In this paper, the authors proposed a method for measuring the ground coordinates of any measureable point in a panorama through one time of photographing and a point cloud is generated, so that measurement of distances, slopes, areas and the like can be carried out.
3
Patent
Method and device for biological feature 3D data collection based on visible light camera
Zuo Zhongbin,Zuo Dayu +1 more
- 24 Aug 2018
TL;DR: In this paper, the authors proposed a method and a device for biological feature 3D data collection based on a visible light camera, which comprises the steps of: employing a camera matrix formed by aplurality of visible light cameras to perform collection of biological feature information, and obtaining multiple biological feature images; processing the biological features images, and extracting feature points of the biological feature image; generating feature point cloud data of the feature features; and constructing a 3D model of biological features according to the feature point clouds data.
2
Patent
Multiple dimensioned dense matching method and system
Gao Guang,Hu Yang,Zhi Xiaodong +2 more
- 19 Oct 2018
TL;DR: In this article, a multiple dimensioned dense matching method and system is proposed, which includes the following steps: constructing image pyramids for multiple images, and calculating a relevant matching image set of each image, wherein each image pyramid has a zeroth to (n-1)th layer and each layer corresponds to a dimension.
2
Patent
Augmented reality method, device and system based on multi-eye camera
Meng Xiangbing,Zhang Mei,Zhaoxing Zhang,Wang Rong +3 more
- 15 Feb 2019
TL;DR: In this paper, a multi-eye camera-based augmented reality system is presented. But the system is limited to a scene with a weak texture environment, and it is not suitable for the use in indoor environments.
1
Patent
A binocular three-dimensional reconstruction method based on jitter
TL;DR: In this article, a binocular 3D reconstruction method based on jitter is proposed, where stable relative positions are formed between cameras by adopting an optical plane mirror or an equivalent optical system to move without moving the cameras, so that the system calibration is facilitated, and the detection precision is also improved; in the movement process, the most similar matching direction is sought as much as possible to serve as the movement direction approaching the polar geometric constraint.
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Daniel Wagner,Alessandro Mulloni +1 more
- 27 Jan 2014
TL;DR: In this article, camera pose information for a first color image captured by a camera on an MS may be obtained and a determination may be made whether to extend or update a first 3Dimensional (3D) model of an environment being modeled by the MS based, in part, on the first colour image and associated camera pose.
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Patent
Method for realizing three-dimensional reconstruction of movement by using binocular camera
Xiao Qinkun,Luo Dan +1 more
- 02 Oct 2013
TL;DR: In this article, a method for realizing 3D reconstruction of movement by using a binocular camera is presented, which consists of the following steps: (1) detecting the image detection of the binocular cameras; (2) achieving the image capture of the camera; (3) collecting multiple chessboard pictures for shooting; (4) calibrating the camera by a camera calibration tool box self-provided by Matlab; (5) completing the stereoscopic imaging of the Binocular camera; and (6) obtaining threedimensional environment information by using the reprojectImageTo3D
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Patent
Three-dimensional reconstruction method for large-scale outdoor scene
Ji Xiangyang,Yang Yang,Dai Qionghai +2 more
- 10 Jul 2013
TL;DR: In this article, a three-dimensional reconstruction method for a large-scale outdoor scene is proposed, in which the spatial information of the outdoor scene in the full-shooting range is recovered by the 3D reconstruction results of the local areas, according to the images acquired at multiple sight points, and by using the multi-camera acquisition system with a specific structure, and a camera self-calibration method based on outdoor scene; the reconstruction range is large; and the method is definite in principle and low in realization method.
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Patent
Scene depth restoring and three dimension re-setting method for stereo visual system
Jianhua Wang,Yuncai Liu +1 more
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TL;DR: In this paper, a method for recovering scene depth and re-building three dimensions of a stereoscopic vision system was proposed, which gets the inner parameters of right and left cameras, relative rotation matrix and shift vector by calibration, and takes the depth value of the scene point in the coordinate systems of the two cameras as the parameter.
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