ISPRS-Archives The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ISPRS-Archives Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. 2194-9034 Copernicus Publications Göttingen, Germany 10.5194/isprs-archives-XLII-2-W17-265-2019 STEREO VISION APPLYING OPENCV AND RASPBERRY PI Pomaska G. 1 University of Applied Sciences Bielefeld, Germany 29 11 2019 XLII-2/W17 265 269 Copyright: © 2019 G. Pomaska 2019 This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/ This article is available from https://isprs-archives.copernicus.org/articles/XLII-2-W17/265/2019/isprs-archives-XLII-2-W17-265-2019.html The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/XLII-2-W17/265/2019/isprs-archives-XLII-2-W17-265-2019.pdf

This article points out the single board computer Raspberry Pi and the related camera modules for image acquisition. Particular attention is directed to stereoscopic image recording and post processing software applying OpenCV. A design of a camera network is created and applied to a field application. The OpenCV computer vision library and its Python binding provides some script samples to encourage users developing their own custom tailored scripts. Stereoscopic recording is intended for extended base lines without a mechanical bar. Image series will be taken in order to wipe out moving objects from the frames. And finally the NoIR camera made infrared photography possible with low effort. Computer, accupack and lens board are assembled in a 3D printed housing operated by a mobile device.