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On the Use of Quality Metrics to Characterize Structured Light-based Point Cloud Acquisitions

Article dans une revue avec comité de lecture
Author
LI, Tingcheng
RUDING, Lou
DOMINIQUE, NOZAIS
ZILONG, SHAO
ccPERNOT, Jean-Philippe
543315 Laboratoire d’Ingénierie des Systèmes Physiques et Numériques [LISPEN]
ccPOLETTE, Arnaud

URI
http://hdl.handle.net/10985/23487
Date
2023-01-01
Journal
CAD and Applications

Abstract

Even if 3D acquisition systems are nowadays more and more e cient, the resulting point clouds nevertheless contain quality defects that must be taken into account beforehand, in order to better anticipate and control their e ects. Assessing the quality of 3D acquisitions has therefore become a major issue for scan planning. This paper presents several quality metrics that are then studied to identify those that could be used to optimize the acquisition positions to perform an automatic scan. From the experiments, it appears that, when considering multiple acquisition positions, the coverage ratio and score indicator have signi cant changes and can be used to evaluate the quality of the measurements. Di erently, other indicators such as e cacy ratio, registration

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