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

Publikation: Beitrag in Buch oder Tagungsband › Vortrag mit Beitrag in Tagungsband › Begutachtung

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.

Originalsprache	Englisch
Titel	Computer Vision, Imaging and Computer Graphics Theory and Applications
Untertitel	19th International Joint Conference, VISIGRAPP 2024, Rome, Italy, February 27–29, 2024, Revised Selected Papers
ISBN (elektronisch)	978-3-032-07623-6
DOIs	https://doi.org/10.1007/978-3-032-07623-6
Publikationsstatus	Veröffentlicht - 9 Feb. 2026

Research Field

High-Performance Vision Systems

Zugriff auf Dokument

10.1007/978-3-032-07623-6

Diese Publikation zitieren

@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",

isbn = "978-3-032-07622-9 ",

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

}

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.

Publikation: Beitrag in Buch oder Tagungsband › Vortrag mit Beitrag in Tagungsband › Begutachtung

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

Zugriff auf Dokument

Fingerprint

Diese Publikation zitieren