A robust and accurate camera pose determination method based on geometric optimization search using Internet of Things

Wang, Qi; Zhao, Zhong-Qiu; Lu, Enshun; Yang, Liu; Liu, Licheng

doi:10.1177/1550147719857581

Cited by 2 publications

(2 citation statements)

References 33 publications

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“…Lu Enshun from Wuhan University of Technology [37] developed a photogrammetry-based radius measurement algorithm for the structural characteristics of port machinery, he used the approximate distortion model of the camera to determine the weight of each midperpendicular, and compared the equal-weight fitting algorithm with the weighted fitting algorithm. Wang Qi [38] developed a focal length calibration algorithm based on photogrammetry for port cranes. The central idea is to obtain image information through the Internet of Things technology, and then obtain the attitude parameters by minimizing the error function.…”

Section: Related Workmentioning

confidence: 99%

Prediction and Optimization Algorithm for Intersection Point of Spatial Multi-Lines Based on Photogrammetry

Zhao

Hao

Zhao

et al. 2022

Sensors

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The basic theory of photogrammetry is mature and widely used in engineering. The environment in engineering is very complex, resulting in the corners or multi-line intersections being blocked and unable to be measured directly. In order to solve this problem, a prediction and optimization algorithm for intersection point of spatial multi-lines based on photogrammetry is proposed. The coordinates of points on space lines are calculated by photogrammetry algorithm. Due to the influence of image point distortion and point selection error, many lines do not strictly intersect at one point. The equations of many space lines are used to fit their initial value of intersection point. The initial intersection point is projected onto each image, and the distances between the projection point and each line on the image plane are used to weight the calculated spatial lines in combination with the information entropy. Then the intersection point coordinates are re-fitted, and the intersection point is repeatedly projected and recalculate until the error is less than the threshold value or reached the set number of iterations. Three different scenarios are selected for experiments. The experimental results show that the proposed algorithm significantly improves the prediction accuracy of the intersection point.

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Section: Related Workmentioning

confidence: 99%

Prediction and Optimization Algorithm for Intersection Point of Spatial Multi-Lines Based on Photogrammetry

Zhao

Hao

Zhao

et al. 2022

Sensors

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“…As a non-contact measuring method with high data acquisition efficiency and excellent automation, photogrammetry is an ideal technical solution for port hoisting machinery safety monitoring. However, the application of photogrammetry in the field of port hoisting machinery safety monitoring has always been limited by the complex working environment of the port, which makes it impossible to get photos taken at reasonable distance and angle and with high background discrimination, resulting in unsatisfactory accuracy of measurement results calculated by traditional algorithm [5,6,7] .In order to solve this problem, the author and his team members put forward "a weighted intersection point prediction algorithm for photogrammetry of port hoisting machinery" based on the multi-line intersection points characteristics of key points of port hoisting machinery [8]. By weighting intersection lines based on optical distortion, the method realizes the principle of high-precision prediction of key points and significantly improves the measurement accuracy of key nodes of port hoisting machinery.…”

Section: Introductionmentioning

confidence: 99%

A Weighting Radius Prediction Iteration Optimization Algorithm Used in Photogrammetry for Rotary Body Structure of Port Hoisting Machinery

Liu

Zhao

et al. 2021

IEEE Access

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As a non-contact measurement technology with high data acquisition efficiency, photogrammetry is an ideal choice for collecting the data needed in the safety evaluation of port hoisting machinery. However, the radius fitting result accuracy cannot meet the requirements of safety assessment due to the limitation of the port crane itself and the working environment characteristics, when the existing photogrammetry method is used to measure the rotary body structure represented by the portal crane slewing mechanism. In order to solve this problem, an iterative optimization algorithm for weighted radius prediction for the photogrammetry of the slewing mechanism of port hoisting machinery is proposed in this paper. First, the algorithm uses the generalized multi-line rendezvous model to transform the radius fitting problem into the multi-line intersection point prediction problem, which lays a theoretical basis for the subsequent algorithm implementation. Second, by introducing a weighting algorithm based on the camera optical distortion model, the algorithm optimizes the accuracy of radius fitting results. In addition, through the quantitative evaluation method of fitting accuracy based on weighted algorithm, the algorithm also establishes a set of iterative rules to balance the accuracy of measurement results and the execution efficiency of the algorithm. Finally, this paper designs theoretical verification tests and simulation engineering tests based on the characteristics of the algorithm and the engineering practice of port hoisting machinery photogrammetry. The experimental results demonstrate that the algorithm described in this paper can significantly improve the accuracy of radius fitting results when the data quantity is small and the data quality is poor compared with the traditional algorithm.

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A robust and accurate camera pose determination method based on geometric optimization search using Internet of Things

Cited by 2 publications

References 33 publications

Prediction and Optimization Algorithm for Intersection Point of Spatial Multi-Lines Based on Photogrammetry

Prediction and Optimization Algorithm for Intersection Point of Spatial Multi-Lines Based on Photogrammetry

A Weighting Radius Prediction Iteration Optimization Algorithm Used in Photogrammetry for Rotary Body Structure of Port Hoisting Machinery

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