@inbook{616ebf04232948098987d3cf427bc280,
title = "Data Fusion and 3D Geometric Modeling from Multi-scale Sensors",
abstract = "The past several decades have seen major advances in sensor technologies, including surface scanning at multi-scales. While state-of-the-art research focuses on methods for integrating diverse scanned data into a single geometric model for inspection analysis, these methods still cannot handle multi-scale data. This paper proposes a new approach for data fusion from multi-scale sensors by defining two generic frameworks for data fusion: Single-Level Multi-Sensor (SLMS) for multi-scale data merged on one level and Hierarchical Multi-Sensor (HMS) for hierarchically merged multi-scale data. These frameworks are based on state-of-the-art generic frameworks and use the properties of multi-scale sensors properties. The feasibility of the proposed approach is demonstrated on 2.5D surfaces scanned by CMM touch probes and laser scanners and on 3D multi-scale synthetic data from CAD models.",
keywords = "data fusion, inspection analysis, multi-scale, multi-sensors",
author = "Dmitry Tansky and Anath Fischer",
note = "Publisher Copyright: {\textcopyright} 2013, Springer-Verlag Berlin Heidelberg.",
year = "2013",
doi = "10.1007/978-3-642-30817-8_34",
language = "الإنجليزيّة",
series = "Lecture Notes in Production Engineering",
publisher = "Springer Nature",
pages = "345--355",
booktitle = "Lecture Notes in Production Engineering",
address = "الولايات المتّحدة",
}