Probabilistic modelling combined with a CNN for boundary detection of carbon fiber fabrics
Sebastian Zambal; Christoph Heindl; Christian Eitzinger;
Identifiers: , - Subject: Deep learning, probabilistic modelling, U-Net
Abstract:
For many industrial machine vision applications it is difficult to acquire good training data to deploy deep learning techniques. In this paper we propose a method based on probabilistic modelling and rendering to generate artificial images of carbon fiber... View more