1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.CV2018
Tree Species Identification from Bark Images Using Convolutional Neural Networks
Mathieu Carpentier, Philippe Giguère, Jonathan Gaudreault
Tree species identification using bark images is a challenging problem that could prove useful for many forestry related tasks. However, while the recent progress in deep learning…
cs.CV2017★ 1 cited
An iterative closest point method for measuring the level of similarity of 3d log scans in wood industry
Cyrine Selma, Hind Haouzi, Philippe Thomas +2
In the Canadian's lumber industry, simulators are used to predict the lumbers resulting from the sawing of a log at a given sawmill. Giving a log or several logs' 3D scans as input…