3D Scanning Using RGBD Imaging Devices: A Survey

Hitomi, Eduardo E.; Silva, Jorge Vicente Lopes da; Ruppert, Guilherme C. S.

doi:10.1007/978-3-319-13407-9_22

Cited by 17 publications

(11 citation statements)

References 23 publications

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“…Mapping a 3D surface is an important problem which is of interest to many researches. Available literature suggests solutions for wide-range mapping techniques including time of flight [4], triangulation [5], structured light [6], RGBD [7], stereo vision [8], and image-based modeling [9].…”

Section: Related Workmentioning

confidence: 99%

Accurate 3D Mapping Algorithm for Flexible Antennas

Asaly

Ben‐Moshe

Shvalb

2018

International Journal of Antennas and Propagation

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This work addresses the problem of performing an accurate 3D mapping of a flexible antenna surface. Consider a high-gain satellite flexible antenna; even a submillimeter change in the antenna surface may lead to a considerable loss in the antenna gain. Using a robotic subreflector, such changes can be compensated for. Yet, in order to perform such tuning, an accurate 3D mapping of the main antenna is required. This paper presents a general method for performing an accurate 3D mapping of marked surfaces such as satellite dish antennas. Motivated by the novel technology for nanosatellites with flexible high-gain antennas, we propose a new accurate mapping framework which requires a small-sized monocamera and known patterns on the antenna surface. The experimental result shows that the presented mapping method can detect changes up to 0.1millimeter accuracy, while the camera is located 1 meter away from the dish, allowing an RF antenna optimization for Ka and Ku frequencies. Such optimization process can improve the gain of the flexible antennas and allow an adaptive beam shaping. The presented method is currently being implemented on a nanosatellite which is scheduled to be launched at the end of 2018.

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Section: Related Workmentioning

confidence: 99%

Accurate 3D Mapping Algorithm for Flexible Antennas

Asaly

Ben‐Moshe

Shvalb

2018

International Journal of Antennas and Propagation

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“…A scanning facility is built using a dozen cameras or several cameras with depth sensors, such as MS Kinect [11]. Systems based on a single camera moved around the scanning object also exist [12].…”

Section: Fig 1 the Photogrammetry Pipeline In Human Model Productionmentioning

confidence: 99%

Role of Background Subtraction in Creating Human Body Point Clouds from Photographs

Драган¹,

Mihic²,

Anišić³

et al. 2015

Proceedings of the 6th International Conference on 3D Body Scanning Technologies, Lugano, Switzerland, 27-28 October 2015

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In this paper we research the influence of background subtraction on photogrammetry pipeline when creating 3D print ready human body data. Background subtraction is a technique in image processing where image background is removed from the image and only foreground is left for further processing. The goal of the paper is to assess whether background subtraction could influence positively or negatively the photogrammetric processing of photographs. The research is aimed at the freely available software that natively does not support background subtraction, but also does not forbid the use of background subtraction. We aim to find out whether the software could benefit from adding background subtraction algorithms into their processing pipelines.

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“…Several -white light‖ approaches exist. For example, a small number of aligned cameras, such as on an Xbox Kinect [38], can generate a relief image of one face of an object [39]. Other approaches require handheld scanners to be moved around an object to image it (e.g., [40,41]).…”

Section: D Scanningmentioning

confidence: 99%

Development of a Large, Low-Cost, Instant 3D Scanner

Straub

Kerlin

2014

Technologies

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Three-dimensional scanning serves a large variety of uses. It can be utilized to generate objects for, after possible modification, 3D printing. It can facilitate reverse engineering, replication of artifacts to allow interaction without risking cultural heirlooms and the creation of replacement bespoke parts. The technology can also be used to capture imagery for creating holograms, it can support applications requiring human body imaging (e.g., medical, sports performance, garment creation, security) and it can be used to import real-world objects into computer games and other simulations. This paper presents the design of a 3D scanner that was designed and constructed at the University of North Dakota to create 3D models for printing and numerous other uses. It discusses multiple prospective uses for the unit and technology. It also provides an overview of future directions of the project, such as 3D video capture.

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3D Scanning Using RGBD Imaging Devices: A Survey

Cited by 17 publications

References 23 publications

Accurate 3D Mapping Algorithm for Flexible Antennas

Accurate 3D Mapping Algorithm for Flexible Antennas

Role of Background Subtraction in Creating Human Body Point Clouds from Photographs

Development of a Large, Low-Cost, Instant 3D Scanner

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