4 papers
Multimodal surface defect detection from wooden logs for sawing optimization
Bořek Reich, Matej Kunda, Fedor Zolotarev +3
We propose a novel, good-quality, and less demanding method for detecting knots on the surface of wooden logs using multimodal data fusion. Knots are a primary factor affecting the…
Towards synthetic generation of realistic wooden logs
Fedor Zolotarev, Borek Reich, Tuomas Eerola +2
In this work, we propose a novel method to synthetically generate realistic 3D representations of wooden logs. Efficient sawmilling heavily relies on accurate measurement of logs a…
Deep Unsupervised Segmentation of Log Point Clouds
Fedor Zolotarev, Tuomas Eerola, Tomi Kauppi
In sawmills, it is essential to accurately measure the raw material, i.e. wooden logs, to optimise the sawing process. Earlier studies have shown that accurate predictions of the i…
Reconstruction and segmentation from sparse sequential X-ray measurements of wood logs
Sebastian Springer, Aldo Glielmo, Angelina Senchukova +5
In industrial applications, it is common to scan objects on a moving conveyor belt. If slice-wise 2D computed tomography (CT) measurements of the moving object are obtained we call…