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

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
Metrics:
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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.
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