Timber 4.0: a computer-vision approach for visual grading low-grade plantation
- Architectural Science Association (ANZAScA)
- Publication Type:
- Conference Proceeding
- Proceedings of the 51st International Conference of the Architectural Science Association (ANZAScA), 2017, pp. 465 - 474
- Issue Date:
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.
Please use this identifier to cite or link to this item: