3D surface reconstruction based on binocular vision

Li, Xuesheng; Qin, Kaiyu; Yao, Ping; Yu, Jun; Wu, Wenjie; Chen, Lu

doi:10.1109/icma.2014.6885985

Cited by 4 publications

(1 citation statement)

References 5 publications

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“…Vision-based 3D model reconstruction used visual sensors to obtain images, and then the images were processed to obtain a 3D model by a computer [22]. Intel RealSenseD435 RGB-D binocular camera [23] was utilized in the experiment, which has RGB images and depth modules [24]. Two cameras that have the same intrinsic parameters are arranged in parallel with identical focal lengths.…”

Section: Methodsmentioning

confidence: 99%

Research on Crop 3D Model Reconstruction Based on RGB-D Binocular Vision

Wan

Gan

2023

Scientific Programming

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Taking maize seedlings as the object, the implementation of crops 3D reconstruction based on RGB-D binocular vision and the selection of some key parameters are investigated in this research. First, multiple images are taken from different angles around the target. By mapping the maize seedling region coordinate values after the Otsu algorithm and global threshold segmentation to the corresponding depth image, the depth data of the maize seedling region can be obtained accurately. An improved mean filter is proposed to adaptively fill the holes in the depth image. Then, the different point clouds with the fixed step angle of the maize seedling are registered and fuzed. Finally, after the fusion point cloud is simplified, the 3D model of crops can be reconstructed. Experimental results show that the simplification effect of the octree algorithm is better than that of the voxel grid filter. Among all the step angles, the reconstruction error of the step angle with 60° is the smallest. Under this condition, the height error between the model and the maize seedling is 2.22%, and the error in stem diameter is 11.67%.

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Section: Methodsmentioning

confidence: 99%

Research on Crop 3D Model Reconstruction Based on RGB-D Binocular Vision

Wan

Gan

2023

Scientific Programming

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Embedded and Parallel Implementation of the Stereo-Vision System for the Autonomous Vehicle

Sejai

Mansouri

Dosse

et al. 2021

Lecture Notes in Electrical Engineering

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Three-dimensional Reconstruction Based on Quadrotors with Binocular Vision

Shen¹,

Yu²,

Bi³

et al. 2016

Proceedings of the 2016 International Conference on Intelligent Control and Computer Application

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Abstract-Three-dimensional reconstruction is used to get more detailed information on the current scenes such as the overlook of a city or a car. The process of reconstruction is based on binocular vision system. In this paper we apply binocular vision to quadrotors. As a result, more information is obtained in reconstruction when two quadrotors with cameras are searching in different circumstances. Video stabilization is used to guarantee the quality of images. Disparity map is computed by the semi-global stereo matching algorithm. The final reconstruction proves the proposed method to be effective.

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3D surface reconstruction based on binocular vision

Cited by 4 publications

References 5 publications

Research on Crop 3D Model Reconstruction Based on RGB-D Binocular Vision

Research on Crop 3D Model Reconstruction Based on RGB-D Binocular Vision

Embedded and Parallel Implementation of the Stereo-Vision System for the Autonomous Vehicle

Three-dimensional Reconstruction Based on Quadrotors with Binocular Vision

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