A Single Image 3D Reconstruction Method Based on a Novel Monocular Vision System

Wu, Fupei; Zhu, Shengli; Ye, Weilin

doi:10.3390/s20247045

Cited by 5 publications

(2 citation statements)

References 42 publications

(34 reference statements)

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“…Additionally, existing laser scanners are primarily designed for measuring object topography at short distances and small inclinations, making them ineffective for long distances and large inclinations in surveys. On the other hand, monocular and binocular vision measurements are passive methods [16][17][18], while structured optical vision measurements are active methods. The image recognition method utilizes monocular or multi-ocular cameras to capture the image information of the grain pile.…”

Section: Introductionmentioning

confidence: 99%

Study on the Measurement Method of Wheat Volume Based on Binocular Structured Light

Zhao,

Chang,

2023

Sustainability

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In this paper, we propose a grain volume measurement method based on binocular structured light to address the need for fast and high-precision grain volume measurement in grain stocks. Firstly, we utilize speckle structured light imaging to tackle the image matching problem caused by non-uniform illumination in the grain depot environment and the similar texture of the grain pile surface. Secondly, we employ a semi-global stereo matching algorithm with census transformation to obtain disparity maps in grain bins, which are then converted into depth maps using the triangulation principle. Subsequently, each pixel in the depth map is transformed from camera coordinates to world coordinates using the internal and external parameter information of the camera. This allows us to construct 3D cloud data of the grain pile, including the grain warehouse scene. Thirdly, the improved European clustering method is used to achieve the segmentation of the three-dimensional point cloud data of the grain pile and the scene of the grain depot, and the pass-through filtering method is used to eliminate some outliers and poor segmentation points generated by segmentation to obtain more accurate three-dimensional point cloud data of the grain pile. Finally, the improved Delaunay triangulation method was used to construct the optimal topology of the grain surface continuous triangular mesh, and the nodes of the grain surface triangular mesh were projected vertically to the bottom of the grain warehouse to form several irregular triangular prisms; then, the cut and complement method was used to convert these non-plane triangular prisms into regular triangular prisms that could directly calculate the volume. The measured volume of the pile is then obtained by calculating the volume of the triangular prism. The experimental results indicate that the measured volume has a relative error of less than 1.5% and an average relative error of less than 0.5%. By selecting an appropriate threshold, the relative standard deviation can be maintained within 0.6%. The test results obtained from the laboratory test platform meet the requirements for field inspection of the granary.

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Section: Introductionmentioning

confidence: 99%

Study on the Measurement Method of Wheat Volume Based on Binocular Structured Light

Zhao,

Chang,

2023

Sustainability

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“…Three-dimensional (3D) measurement and 3D reconstruction [1,2] are important research topics in the field of computer vision. According to the basic principle of computer vision, it is impossible to measure 3D space via monocular vision [3].…”

Section: Introductionmentioning

confidence: 99%

A Novel Method for Space Circular Target Detection in Machine Vision

Chi

Liu

et al. 2022

Sensors

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Computer-vision-based space circular target detection has a wide range of applications in visual measurement, object detection, and other fields. The space circular target is projected into an ellipse in the camera for localization. Traditional methods based on monocular vision use a precise calculation model to calculate the center coordinate and normal vector of the space circular target according to the image’s elliptic parameters. However, this accurate calculation method has the disadvantage of poor anti-interference ability in practical application. Aiming at the shortcomings of the above traditional calculation method, this paper proposes an optimization method for fitting the circular target in 3D space, where the image ellipse is projected back into 3D space and then detects the center coordinate and normal vector of the space circular target. Unlike the traditional method, this approach is not sensitive to the image’s elliptic parameters; it has stronger noise resistance performance and notable application value. The feasibility and effectiveness of the proposed method were verified by both simulation and practical experimental results.

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Depth estimation of supervised monocular images based on semantic segmentation

Wang

Piao

2023

Journal of Visual Communication and Image Representation

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A Single Image 3D Reconstruction Method Based on a Novel Monocular Vision System

Cited by 5 publications

References 42 publications

Study on the Measurement Method of Wheat Volume Based on Binocular Structured Light

Study on the Measurement Method of Wheat Volume Based on Binocular Structured Light

A Novel Method for Space Circular Target Detection in Machine Vision

Depth estimation of supervised monocular images based on semantic segmentation

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