Reverse engineering modeling methods and tools: a survey Article Swipe
YOU?
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· 2017
· Open Access
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· DOI: https://doi.org/10.1080/16864360.2017.1397894
Reverse Engineering (RE) is a long-term goal of engineering and computer science; it aims at the reconstruction of CAD models from measured data by means of 3D mathematical surfaces and geometrical features representing the geometry of a physical part. In the last two decades, reviews and surveys have occasionally covered this topic, but a systematic dissertation of modelling methods from a mechanical engineering point of view is still missing. The purpose of this paper is to fill this gap; starting from a general description of the overall RE framework (acquisition, segmentation, classification, fitting), both an up-to-date survey and a categorization of available modelling techniques and tools working on 3D data are provided. The main aspects of various strategies are discussed as well, in order to highlight strengths and weaknesses characterizing different approaches. Moreover, an overview of commercial software for RE is presented, considering both dedicated solutions and packages supplied as add-on with ‘traditional’ CAD systems. Finally, possible improvements to be addressed by the research in the RE field are discussed, outlining potential future trends that are still to be investigated.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1080/16864360.2017.1397894
- OA Status
- green
- Cited By
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- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W2769439829Canonical identifier for this work in OpenAlex
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https://doi.org/10.1080/16864360.2017.1397894Digital Object Identifier
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Reverse engineering modeling methods and tools: a surveyWork title
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articleOpenAlex work type
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enPrimary language
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2017Year of publication
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2017-11-16Full publication date if available
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Francesco Buonamici, Monica Carfagni, Rocco Furferi, Lapo Governi, Alessandro Lapini, Yary VolpeList of authors in order
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https://doi.org/10.1080/16864360.2017.1397894Publisher landing page
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://www.tandfonline.com/doi/full/10.1080/16864360.2017.1397894Direct OA link when available
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Computer science, Representation (politics), Alphabet, Range (aeronautics), Engineering drawing, Artificial intelligence, Human–computer interaction, Natural language processing, Engineering, Law, Linguistics, Political science, Politics, Philosophy, Aerospace engineeringTop concepts (fields/topics) attached by OpenAlex
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2025: 15, 2024: 17, 2023: 20, 2022: 18, 2021: 20Per-year citation counts (last 5 years)
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88Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| publication_date | 2017-11-16 |
| publication_year | 2017 |
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