Propagation-based incremental triangulation for multiple views 3D reconstruction

Fang, Wei; Yang, Kui; Li, Haiyuan

doi:10.3788/col202119.021101

Cited by 7 publications

(3 citation statements)

References 9 publications

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“…Since the midpoint method is labelled inaccurate in the literature, the authors in [25] proposed a modified loss function and the iteratively reweighted midpoint method to solve it. An incremental triangulation method was proposed in [26] that tries to solve the same cost function of [25] more efficiently. This method is performed in two steps.…”

Section: Related Workmentioning

confidence: 99%

The optimal triangulation method is not really optimal

Nasiri

Hosseini

Moradi

2023

IET Image Processing

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Triangulation refers to the problem of finding a 3D point from its 2D projections on multiple images taken at different camera poses. For solving this problem, it is a common practice to use the so‐called optimal triangulation method. But, the method can be optimal only if we assume no uncertainty in the camera parameters. In this paper, an extensive comparison between various existing methods for the calibrated cameras is performed, in which different poses are considered. Furthermore, uncertainty sensitivity analysis is conducted for extrinsic parameters of cameras. The results show that the optimal triangulation method is actually not the best choice when there is uncertainty in extrinsic parameters. Interestingly, it can be observed that the simple midpoint method works equally well or outperforms the optimal triangulation and many other methods. Apart from its high performance, the midpoint method has a simple closed form solution for multiple views while the optimal triangulation method is hard to be used for more than two views. Therefore, in contrast to the common practice, we argue that the simple midpoint method can be a good choice in the structure‐from‐motion process where there is uncertainty in extrinsic camera parameters.

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Section: Related Workmentioning

confidence: 99%

The optimal triangulation method is not really optimal

Nasiri

Hosseini

Moradi

2023

IET Image Processing

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“…Its high accuracy, efficiency, noncontact, and nondestructive measurement, among other notable features have made it indispensable in digital reverse engineering, virtual reality, biomedicine, cultural relic preservation, mechanical part inspection, and intelligent manufacturing. [1][2][3][4] Nevertheless, defect detection in ultralarge equipment is challenging due to its vast size and intricate design. Rapid detection and measurement become complex, especially when acquiring point clouds inspection sites with a complicated field environment and field of view constraints.…”

Section: Introductionmentioning

confidence: 99%

Combined 3D scanning measurement method based on guidance of full-space laser positioning system

Liu,

Lin

2024

Opt. Eng.

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Aiming at the problem of constraints between reconstruction range and splicing accuracy when 3D reconstruction is carried out on large-scale equipment in aerospace and other fields, we investigate the combined 3D scanning measurement method based on the guidance of the all-space laser positioning system (ALPS) on the basis of analyzing the fusion of the ALPS and scanning target. The method establishes a global 3D scanning measurement model based on multiple measurement points by Creo and simulates and analyzes the data with MATLAB, then designs the structure of the circumferential combined photoelectric receiver by combining with the receiving characteristics of photodetectors for laser signals in the full-space field, and then completes the optimal layout design of the receiver based on the accessibility. Finally, a 30 m × 30 m experimental platform for the fusion of ALPS and scanning target is constructed, and the measured standard bat and Zeiss standard ball are used as the measured objects to verify the feasibility of the research method. The simulation and experimental results show that the optimal number of receivers needed for the global measurement system is N ¼ 6, the measurement accuracy is better than 0.5 mm, and the repeatability measurement accuracy is up to 0.02 mm, which provides a basis for the 3D scanning of large-scale equipment.

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“…There are three types of point cloud reconstruction techniques [5] , which differ in their underlying principles: parametric surface reconstruction [6] , implicit surface reconstruction [7] , and mesh surface reconstruction [8] . Currently, both domestic and foreign scholars have conducted extensive research on 3D reconstruction technology and have proposed many improved reconstruction algorithms.…”

Section: Introductionmentioning

confidence: 99%

Improved fast 3D reconstruction algorithm based on laser scanning point cloud

Tang,

Liu,

Liu

et al. 2023

Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023)

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The point cloud data obtained by a 3D laser scanner is known for its high density, redundancy, and significant noise, which can result in a slow 3D reconstruction process and an imprecise reconstruction surface. To address these issues, a method for rapidly creating a 3D point cloud model based on 3D laser scanning was proposed. This approach involves removing outlier point clouds using a statistical filtering algorithm, downsampling the data using an improved octree voxel filtering algorithm, smoothing the point cloud using the moving least squares method and resampling it. Finally, the improved greedy projection triangulation algorithm is used for surface reconstruction. The experimental results show that the method proposed in this paper can improve the efficiency of model reconstruction, and the reconstructed model has smooth surface, accurate structure and improved precision.

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Propagation-based incremental triangulation for multiple views 3D reconstruction

Cited by 7 publications

References 9 publications

The optimal triangulation method is not really optimal

The optimal triangulation method is not really optimal

Combined 3D scanning measurement method based on guidance of full-space laser positioning system

Improved fast 3D reconstruction algorithm based on laser scanning point cloud

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