Extract

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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