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Timber 4.0: a computer-vision approach for visual grading low-grade plantation
Citation
Booth, P and Maxwell, I and Schork, T, Timber 4.0: a computer-vision approach for visual grading low-grade plantation, Proceedings of the 51st International Conference of the Architectural Science Association (ANZAScA), 29 November-02 December 2017, Wellington, New Zealand, pp. 465-474. ISBN 9780992383541 (2017) [Refereed Conference Paper]
Copyright Statement
Copyright 2017 Architectural Science Association (ANZAScA)
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 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.
Item Details
| Item Type: | Refereed Conference Paper |
|---|---|
| Keywords: | digital, robotic, timber, plantation, computer vision, industry 4.0, computational design |
| Research Division: | Built Environment and Design |
| Research Group: | Design Practice and Management |
| Research Field: | Design Innovation |
| Objective Division: | Construction |
| Objective Group: | Construction Design |
| Objective Field: | Construction Design not elsewhere classified |
| UTAS Author: | Booth, P (Mr Peter Booth) |
| ID Code: | 123147 |
| Year Published: | 2017 |
| Deposited By: | Architecture and Design |
| Deposited On: | 2017-12-19 |
| Last Modified: | 2018-06-19 |
| Downloads: | 0 |
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