Advancing Precision in Multi-point Cloud Fusion Environments

Ulugbek Alibekov; Vanessa Staderini; Philipp Schneider; Doris Antensteiner

doi:10.1007/978-3-032-07623-6

Advancing Precision in Multi-point Cloud Fusion Environments

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

Abstract

This research focuses on visual industrial inspection by evaluating point clouds and multi-point cloud matching methods. We also introduce a synthetic dataset for quantitative evaluation of registration method and various distance metrics for point cloud comparison. Additionally, we present a novel CloudCompare plugin for merging multiple point clouds and visualizing surface defects, enhancing the accuracy and efficiency of automated inspection systems.

Original language	English
Title of host publication	Computer Vision, Imaging and Computer Graphics Theory and Applications
Subtitle of host publication	19th International Joint Conference, VISIGRAPP 2024, Rome, Italy, February 27–29, 2024, Revised Selected Papers
ISBN (Electronic)	978-3-032-07623-6
DOIs	https://doi.org/10.1007/978-3-032-07623-6
Publication status	Published - 9 Feb 2026

Research Field

High-Performance Vision Systems

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10.1007/978-3-032-07623-6

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@inproceedings{2c883a695178453fa8a0f8960a1990e9,

title = "Advancing Precision in Multi-point Cloud Fusion Environments",

abstract = "This research focuses on visual industrial inspection by evaluating point clouds and multi-point cloud matching methods. We also introduce a synthetic dataset for quantitative evaluation of registration method and various distance metrics for point cloud comparison. Additionally, we present a novel CloudCompare plugin for merging multiple point clouds and visualizing surface defects, enhancing the accuracy and efficiency of automated inspection systems.",

author = "Ulugbek Alibekov and Vanessa Staderini and Philipp Schneider and Doris Antensteiner",

year = "2026",

month = feb,

day = "9",

doi = "10.1007/978-3-032-07623-6",

language = "English",

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booktitle = "Computer Vision, Imaging and Computer Graphics Theory and Applications",

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Advancing Precision in Multi-point Cloud Fusion Environments. / Alibekov, Ulugbek ; Staderini, Vanessa; Schneider, Philipp et al.
Computer Vision, Imaging and Computer Graphics Theory and Applications: 19th International Joint Conference, VISIGRAPP 2024, Rome, Italy, February 27–29, 2024, Revised Selected Papers. 2026.

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

TY - GEN

T1 - Advancing Precision in Multi-point Cloud Fusion Environments

AU - Alibekov, Ulugbek

AU - Staderini, Vanessa

AU - Schneider, Philipp

AU - Antensteiner, Doris

PY - 2026/2/9

Y1 - 2026/2/9

N2 - This research focuses on visual industrial inspection by evaluating point clouds and multi-point cloud matching methods. We also introduce a synthetic dataset for quantitative evaluation of registration method and various distance metrics for point cloud comparison. Additionally, we present a novel CloudCompare plugin for merging multiple point clouds and visualizing surface defects, enhancing the accuracy and efficiency of automated inspection systems.

AB - This research focuses on visual industrial inspection by evaluating point clouds and multi-point cloud matching methods. We also introduce a synthetic dataset for quantitative evaluation of registration method and various distance metrics for point cloud comparison. Additionally, we present a novel CloudCompare plugin for merging multiple point clouds and visualizing surface defects, enhancing the accuracy and efficiency of automated inspection systems.

U2 - 10.1007/978-3-032-07623-6

DO - 10.1007/978-3-032-07623-6

M3 - Conference Proceedings with Oral Presentation

SN - 978-3-032-07622-9

BT - Computer Vision, Imaging and Computer Graphics Theory and Applications

ER -

Advancing Precision in Multi-point Cloud Fusion Environments

Abstract

Research Field

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