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Timber 4.0: a computer-vision approach for visual grading low-grade plantation
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Booth, P 
ORCID: 0000-0002-2926-1365, Maxwell, I and Schork, T 2017
, 'Timber 4.0: a computer-vision approach for visual grading low-grade plantation', in MA Schnabel (ed.),
Proceedings of the 51st International Conference of the Architectural Science Association (ANZAScA)
, Architectural Science Association (ANZAScA), New Zealand, pp. 465-474
.
ORCID: 0000-0002-2926-1365, Maxwell, I and Schork, T 2017
, 'Timber 4.0: a computer-vision approach for visual grading low-grade plantation', in MA Schnabel (ed.),
Proceedings of the 51st International Conference of the Architectural Science Association (ANZAScA)
, Architectural Science Association (ANZAScA), New Zealand, pp. 465-474
.
Full text not available from this repository.
Official URL: http://anzasca.net/category/conference-papers/2017...
Abstract
The objective of this study was to develop a proof of concept for using low cost, off the shelfRGB-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.
| Item Type: | Conference Publication |
|---|---|
| Authors/Creators: | Booth, P and Maxwell, I and Schork, T |
| Keywords: | digital, robotic, timber, plantation, computer vision, industry 4.0, computational design |
| Journal or Publication Title: | Proceedings of the 51st International Conference of the Architectural Science Association (ANZAScA) |
| Publisher: | Architectural Science Association (ANZAScA) |
| Copyright Information: | Copyright 2017 Architectural Science Association (ANZAScA) |
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| Item Statistics: | View statistics for this item |
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