5 papers
Unsupervised Pelage Pattern Unwrapping for Animal Re-identification
Aleksandr Algasov, Ekaterina Nepovinnykh, Fedor Zolotarev +4
Existing individual re-identification methods often struggle with the deformable nature of animal fur or skin patterns which undergo geometric distortions due to body movement and…
Multimodal surface defect detection from wooden logs for sawing optimization
BoÅek 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…
Mineral segmentation using electron microscope images and spectral sampling through multimodal graph neural networks
Samuel Repka, BoÅek 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…