GigaPan Image-Based 3D Reconstruction for Engineering Geological Investigation

Hana Lee, Christian Mostegel, Friedrich Fraundorfer, Daniel Scott Kieffer

Research output: Contribution to conferencePaper

Abstract

Image based 3-dimensional (3D) reconstruction is a powerful technique for quantifying the shape of complex objects, and interactive gigapixel panoramic photographs (e.g. GigaPans) provide multi-scale imagery that facilitate unprecedented long-range qualitative observations. This research examines combining these technologies with the goal of generating 3D reconstructions from multiple ultra-long range GigaPans. The overall workflow involves: (1) acquiring GigaPans from various viewpoints; (2) camera calibration; (3) creating a 3D model using Structure from Motion (SfM) and Multi-View Stereo (MVS) algorithms. Initial studies performed at a dolomite quarry located near Graz, Austria, show that the geologic features (e.g. rock discontinuities and block dimensions) can be discerned and directly measured within the model. These results indicate the developed methodology can greatly assist engineering geologists making quantitative measurements and analyses of exposures that are inaccessible or at such great distances so as to preclude traditional photogrammetric techniques. Ongoing research is focused on evaluating range effects, in particular the maximum range to which this methodology can be reasonably applied in the context of engineering geological investigations.
Original languageEnglish
Publication statusPublished - 2018

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