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Next on Stage: "MC ViSi"- a Machine Vision Simulation Framework

: Meyer, J.

Postprint urn:nbn:de:0011-n-4618274 (2.4 MByte PDF)
MD5 Fingerprint: fe307f982f4b242c8d9b0c2789a16fc5
Created on: 24.8.2017

Beyerer, Jürgen (Ed.); Pak, Alexey (Ed.):
Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory 2016. Proceedings : Triberg-Nussbach, July, 24 to 29, 2016
Karlsruhe: KIT Scientific Publishing, 2017 (Karlsruher Schriften zur Anthropomatik 33)
ISBN: 978-3-7315-0678-2
DOI: 10.5445/KSP/1000070009
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation and Institute for Anthropomatics, Vision and Fusion Laboratory (Joint Workshop) <2016, Triberg-Nussbach>
Conference Paper, Electronic Publication
Fraunhofer IOSB ()

Machine vision systems are used in diverse kinds of industries. They are employed in automobiles for the detection and protection of pedestrians,
in visual inspection systems to ensure the quality of produced goods
etc. The parameters of such systems result in many degrees of freedom.
Determining the optimal setting of these parameters usually represents a
time-consuming task that has to be performed empirically. This article introduces a software framework consisting of multiple plugins for the physically based rendering suite Mitsuba. By means of combining the single framework components, the sensor signals of arbitrary machine vision systems
can be simulated for synthetic scenes consisting of objects having complex
3D geometries and the design process of the whole system can be streamlined.