@inproceedings{836da05a389a4f65914f2c9b67ed2792,
title = "Orthographic drawings minting: testing for indeterminate solid models caused by underrepresentation",
abstract = "Orthographic drawings still have an important role in the design and manufacture workflow. An important task for the designer is to determine the most suitable collection of views to represent a solid. Where complex artefacts are considered, and/or inexperienced users perform this task determining the possibility pf a set of views in which there exists ambiguity increases. To begin to address this issue, this paper outlines a method to recognise simple cases of indeterminate solid models, considering underrepresentation by deficiency and redundancy by superposition. The method employs multipartite graph and cellular modelling to deal with each case, and it has the potential to be fully automated within a CAD environment. Entities which are underdefined require more information to be fully defined can be identified.",
keywords = "Error detection, Indeterminate solutions, Orthographic drawings, Reconstruction, Underrepresentation",
author = "Peter Rosso and Ben Hicks and Michael Patterson",
year = "2018",
month = jul,
day = "7",
doi = "10.1007/978-3-319-95588-9_123",
language = "English",
isbn = "9783319955872",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer, Cham",
pages = "1404--1413",
editor = "Luigi Cocchiarella",
booktitle = "ICGG 2018 - Proceedings of the 18th International Conference on Geometry and Graphics",
address = "Switzerland",
note = "18th International Conference on Geometry and Graphics, ICGG 2018 ; Conference date: 03-08-2018 Through 07-08-2018",
}