Timber 4.0: a computer-vision approach for visual grading low-grade plantation

Booth, P; Maxwell, I; Schork, T

Timber 4.0: a computer-vision approach for visual grading low-grade plantation

Booth, P

Maxwell, I Schork, T

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Publisher:: Architectural Science Association (ANZAScA)
Publication Type:: Conference Proceeding
Citation:: Proceedings of the 51st International Conference of the Architectural Science Association (ANZAScA), 2017, pp. 465 - 474
Issue Date:: 2017

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Full metadata record

Field	Value	Language
dc.contributor.author	Booth, P https://orcid.org/0000-0002-2926-1365	en_US
dc.contributor.author	Maxwell, I	en_US
dc.contributor.author	Schork, T	en_US
dc.contributor.editor	Schnabel, MA	en_US
dc.date	2017-11-29	en_US
dc.date.issued	2017	en_US
dc.identifier.citation	Proceedings of the 51st International Conference of the Architectural Science Association (ANZAScA), 2017, pp. 465 - 474	en_US
dc.identifier.isbn	9780992383541	en_US
dc.identifier.uri	http://hdl.handle.net/10453/126030
dc.description.abstract	The objective of this study was to develop a proof of concept for using low cost, off the shelf RGB-D computer vision techniques to assess grading and defect features in low grade plantation hardwood. It is framed within a wider research project that proposes the integration this data within a Cyber Physical System allowing real time design and material feedback within a computational design and fabrication workflow.	en_US
dc.publisher	Architectural Science Association (ANZAScA)	en_US
dc.relation.ispartof	Proceedings of the 51st International Conference of the Architectural Science Association (ANZAScA)	en_US
dc.relation.ispartof	Back to the future: The next 50 years, 51st International Conference of the Architectural Science Association (ANZAScA)	en_US
dc.title	Timber 4.0: a computer-vision approach for visual grading low-grade plantation	en_US
dc.type	Conference Proceeding
utslib.location.activity	Wellington, New Zealand	en_US
utslib.for	1204 Engineering Design	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building/School of Architecture
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	open_access
pubs.consider-herdc	false	en_US
pubs.finish-date	2017-12-02	en_US
pubs.publication-status	Published online	en_US
pubs.start-date	2017-11-29	en_US

Abstract:

The objective of this study was to develop a proof of concept for using low cost, off the shelf RGB-D computer vision techniques to assess grading and defect features in low grade plantation hardwood. It is framed within a wider research project that proposes the integration this data within a Cyber Physical System allowing real time design and material feedback within a computational design and fabrication workflow.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/126030