Noises Adaptive Filtering Structure for Robotic Positioning Using Monocular Vision

Zhong, Xiaofeng; Yang, Zetao; Miao, Chunxiao; Yang, Guizhi; Peng, Xiafu

doi:10.1109/ccdc49329.2020.9164357

Cited by 1 publication

(1 citation statement)

References 14 publications

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“…For the purposes of certain applications, however, 3D measurement based on monocular vision is still a research hotspot [5]. A noise adaptive filtering structure was first explored in [6], where a new monocular vision feedback control strategy based on the adaptive filtering structure was developed for robotic positioning without noise parameters. Wang et al [7] proposed a technique to measure the absolute depth information of the object in the image using monocular vision based on the Harris-SIFT corner detection algorithm.…”

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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Section: Introductionmentioning

confidence: 99%