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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 51st International Conference of the Architectural Science Association (ANZAScA) |
| Subtitle of host publication | Back to the future: The next 50 years |
| Editors | Marc Aurel Schnabel |
| Place of Publication | New Zealand |
| Publisher | Architectural Science Association |
| Pages | 465-474 |
| Number of pages | 10 |
| ISBN (Print) | 9780992383541 |
| Publication status | Published - 2017 |
| Externally published | Yes |
| Event | 51st International Conference of the Architectural Science Association (ANZAScA2017): Back to the Future: The next 50 Years - Victoria University of Wellington, Wellington, New Zealand Duration: 29 Nov 2017 → 2 Dec 2017 |
Conference
| Conference | 51st International Conference of the Architectural Science Association (ANZAScA2017) |
|---|---|
| Country/Territory | New Zealand |
| City | Wellington |
| Period | 29/11/17 → 2/12/17 |