A Review of Stereo-Photogrammetry Method for 3-D Reconstruction in Computer Vision

Binh, Phuong Ngoc; Nguyen, Quoc Chi

doi:10.1109/iscit.2019.8905144

Cited by 20 publications

(9 citation statements)

References 44 publications

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“…In terms of full-field detection, Bianco et al used fringe projection profilometry and compared the three-dimensional reconstruction effects under different turbidities, proving the feasibility of this technology in underwater applications [15] . Bruno et al used Gray code structured light to perform three-dimensional reconstruction underwater, confirming the feasibility of system calibration underwater, thus simplifying the refraction compensation processing of images [16] .…”

Section: Introductionmentioning

confidence: 95%

Research on fringe projection profilometry for 3D reconstruction of target in turbid water

Yu,

Shi,

et al. 2024

Sixth Conference on Frontiers in Optical Imaging and Technology: Imaging Detection and Target Recognition

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Underwater 3D reconstruction has important applications in Marine science, underwater archaeology and resource survey. As a structured light system based on active illumination, fringe projection contour method has been widely used in industrial measurement and manufacturing. However, there are still some shortcomings in the application of turbid water environment, such as the refraction of multi-layer media and the scattering and absorption caused by turbid water, resulting in a large area of information loss or reconstruction failure. This paper aims to study the improvement and application of fringe projection profilometry based on structured light projection technology in turbid water. A calibration scheme suitable for underwater system is proposed to compensate the influence of multi-layer medium refraction on the system. In order to verify the feasibility and effectiveness of this method, a reconstruction experiment was carried out in a pool in muddy water. The reconstruction results are analyzed based on the effective point cloud number, measurement error and Hausdorff distance. The results show that even under high turbidity conditions, the number of reconstructed point clouds has reached millions, and the accuracy can be maintained at the millimeter level, which reflects that the proposed method has potential practical value in the field of high-density and high-precision three-dimensional reconstruction in turbid water environment.

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Section: Introductionmentioning

confidence: 95%

Research on fringe projection profilometry for 3D reconstruction of target in turbid water

Yu,

Shi,

et al. 2024

Sixth Conference on Frontiers in Optical Imaging and Technology: Imaging Detection and Target Recognition

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“…Different from laser scanning's line-by-line scanning method [1,2], binocular stereo method only needs to capture pictures once to obtain information about the surface of the wooden planks. Nonetheless, calculating the correspondence, which is also referred to as computing disparity [3,4], for individual pixels across multiple images presents a challenging endeavor [5]. Traditional stereo matching algorithms, including BM [6], SGM [7], and their subsequent derivatives [8,9], encounter difficulties when confronted with discontinuous disparity, textureless region, repeating patterns and similar scenarios [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

A cascaded GRU-based stereoscopic matching network for precise plank measurement

Xiong,

Li,

Liu

et al. 2024

Meas. Sci. Technol.

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Wooden plank images in industrial measurements often contain numerous textureless areas. Furthermore, due to the thin plate structure, the three-dimensional disparity of these planks is predominantly confined to a narrow range. Consequently, achieving accurate three-dimensional matching of wooden plank images has consistently presented a challenging task within the industry. In recent years, deep learning has progressively supplanted traditional stereo matching methods due to its inherent advantages, including rapid inference and end-to-end processing. Nonetheless, the acquisition of datasets for stereo matching networks poses an additional challenge, primarily attributable to the difficulty in obtaining accurate disparity data. Thus, this paper presents a novel stereo matching method incorporating three key innovations. Firstly, an enhanced Gated Recurrent Unit(GRU) network is introduced, accompanied by a redesigned structure to achieve higher matching accuracy. Secondly, an efficient preprocessing module is proposed, aimed at improving the algorithm's efficiency. Lastly, in response to the challenges posed by datasets acquisition, we innovatively employed image simulation software to obtain a high-quality simulated dataset of wooden planks. To assess the feasibility of our approach, we conducted both simulated and real experiments. The experiments results clearly exhibit the superiority of our method when compared to existing approaches in terms of both stability and accuracy. In the simulation experiment, our method attained a bad1.0 score of 2.1% (compared to the baseline method's 9.76%); In the real experiment, our method achieved an average error of 0.104mm (compared to the baseline method's 0.268mm). It is worth noting that our study aims to address the challenge of acquiring datasets for deep learning and bridging the gap between simulated and real data, resulting in increased applicability of deep learning in more industrial measurement domains.

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“…Collection of 3D data can be done by a variety of methods using a variety of tools, and has been extensively explored and described in prior reviews [3,4]. Although these methods follow many of the same principles, revolving around an imaging system and the post-processing of its data, some differences in their specifications and functionality causes some to be better suited than others depending on the characteristics of the object or demands of the project [5]. Additionally, the long postprocessing stage necessary in any 3D workflow consists of many steps, each of which use tools that might introduce alterations to the data to serve a specific purpose.…”

Section: Introductionmentioning

confidence: 99%

“…Some prominent virtual museums are Virtual Museums of Małopolska, 3 and Digitalt Museum. 4 Additionally, a few museums has taken the step towards providing digital viewing of their objects without developing a whole virtual museum platform: National Museums Scotland, 5 The Louvre Museum, 6 and The British Museum 7 are some examples.…”

Section: Introductionmentioning

confidence: 99%

Standardization of digitized heritage: a review of implementations of 3D in cultural heritage

Storeide,

George,

Sole

et al. 2023

Herit Sci

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The value of three-dimensional virtual objects are proven in a great variety of applications; their flexibility allowing for a substantial amount of utilization purposes. In cultural heritage this has been used for many years already, and the amount of users continue to grow as acquisition methods and implementations are becoming more approachable. Nonetheless, there are still many apparent issues with making use of all the possible benefits of 3D data in the field, varying from lack of knowledge, infrastructure, or coherent workflows. This review aims to underline the current limitations in implementing 3D workflows for various cultural heritage purposes. 45 projects and institutions are reviewed, along with the most prominent guidelines for workflows and ways of implementing the 3D data on the web. We also cover how each project manage and make their data accessible to the public. Prominent and recurring issues with standardization, interoperability, and implementation is highlighted and scrutinized. The review is concluded with a discussion on the current utilization’s of 3D data for cultural heritage purposes, along with suggestions for future developments.

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A Review of Stereo-Photogrammetry Method for 3-D Reconstruction in Computer Vision

Cited by 20 publications

References 44 publications

Research on fringe projection profilometry for 3D reconstruction of target in turbid water

Research on fringe projection profilometry for 3D reconstruction of target in turbid water

A cascaded GRU-based stereoscopic matching network for precise plank measurement

Standardization of digitized heritage: a review of implementations of 3D in cultural heritage

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