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cs.CV2025
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…
cs.CV2025
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…
cs.CV2025★ 3 cited
Mineral segmentation using electron microscope images and spectral sampling through multimodal graph neural networks
Samuel Repka, Bořek Reich, Fedor Zolotarev +2
We propose a novel Graph Neural Network-based method for segmentation based on data fusion of multimodal Scanning Electron Microscope (SEM) images. In most cases, Backscattered Ele…