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Timber Tracing with Multimodal Encoder-Decoder Networks
(Springer, Cham, 2019-08-22)
Tracking timber in the sawmill environment from the raw material (logs) to the end product (boards) provides various benefits including efficient process control, the optimization of sawing, and the prediction of end-product ...
Detection of Mechanical Damages in Sawn Timber Using Convolutional Neural Networks
(Springer, Cham, 2019-02-14)
The quality control of timber products is vital for the sawmill industry pursuing more efficient production processes. This paper considers the automatic detection of mechanical damages in wooden board surfaces occurred ...
Fine-Grained Wood Species Identification Using Convolutional Neural Networks
(Springer, Cham, 2019-05-12)
This paper considers the wood species identification from images of boards. The identification using only visual features of the surface is a challenging task even for an expert. The task becomes especially difficult when ...