Gaich, A, Pötsch, M & Schubert, W 2007, 'Photogrammetry Plus Computer Vision for Rock Mass Characterisation, Bench Face Surveying and Blast Planning', in Y Potvin (ed.), Slope Stability 2007: Proceedings of the 2007 International Symposium on Rock Slope Stability in Open Pit Mining and Civil Engineering, Australian Centre for Geomechanics, Perth, pp. 511-525, https://doi.org/10.36487/ACG_repo/708_34
(https://papers.acg.uwa.edu.au/p/708_34_Gaich/)
Abstract: Rock mass characterisation is a crucial step in any rock mechanics project. Conventional mapping deals with 
the visual interpretation of the rock mass as well with getting geometric measurements on the rock structures 
such as discontinuity orientations. Since 3D images combine visual with spatial data it is a straightforward 
approach to use them for supporting rock mass characterisation. Especially since drawbacks in the 
conventional acquisition of the fracture network such as need for manual access, time restrictions, and 
reproducibility can be overcome. From digital photographs three-dimensional models are built that allow us 
to measure rock mass features directly. This paper describes a modernised version of the well-known 
photogrammetric approach enhanced by Computer Vision principles. The advantages of this approach are 
that zoom lens can be used for measurements, pictures can be taken freehand, and data processing does not 
require knowledge on photogrammetry. Besides the concept and the measurement possibilities some 
applications are addressed.