Volume 4: Advanced Manufacturing Processes; Biomedical Engineering; Multiscale Mechanics of Biological Tissues; Sciences, Engin 2012
DOI: 10.1115/esda2012-82824
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Intelligent Reverse-Engineering Segmentation: Automatic Semantic Recognition of Large 3D Digitalized Cloud of Points Dedicated to Heritage Objects

Abstract: In this article we present a multidisciplinary experimentation realized between a mechanical laboratory, a computer scientist laboratory and a museum. Our goal is to provide automatic tools for non-expert people who want to use 3D digitized elements. After scanning an objet, we obtain a huge amount of points. In order to manipulate it, it is necessary to decimate it. However, when doing this operation, we can optimize the algorithms for creating semantic topology; obviously we can do it automati… Show more

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Cited by 3 publications
(2 citation statements)
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“…BIM software used for documenting heritage buildings come from the construction industry [36], and are tweaked in order to manage hypothetical, uncertain and incomplete data. In a similar way, heritage studies deploy reverse engineering methodology and tools from industrial and mechanical engineers [31]. All of those approaches create a specific type of interdisciplinarity.…”
Section: Understanding the Modeling Backgroundmentioning
confidence: 99%
“…BIM software used for documenting heritage buildings come from the construction industry [36], and are tweaked in order to manage hypothetical, uncertain and incomplete data. In a similar way, heritage studies deploy reverse engineering methodology and tools from industrial and mechanical engineers [31]. All of those approaches create a specific type of interdisciplinarity.…”
Section: Understanding the Modeling Backgroundmentioning
confidence: 99%
“…Many topological issues still have to be treated at this step: holes, file mergers, missing parts and so on. Post-treatment (using Geomagic software) to solve these issues is described in [11].…”
Section: Physical Object Acquisition: 3d Scanningmentioning
confidence: 99%