Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W1, 133-137, 2013
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W1/133/2013/
doi:10.5194/isprsarchives-XL-1-W1-133-2013
© Author(s) 2013. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
02 May 2013
CREATION OF 3D MODELS FROM LARGE UNSTRUCTURED IMAGE AND VIDEO DATASETS
J. Hollick, S. Moncrieff, D. Belton, A. J. Woods, A. Hutchison, and P. Helmholz iVEC@Curtin University, Australia
Department of Spatial Sciences, Curtin University, Australia
Centre for Marine Science and Technology, Curtin University, Australia
School of Design and Art, Curtin University, GPO Box U 1987, Perth W.A. 6845, Australia
CRC for Spatial Information, Australia
Keywords: Algorithms, Automation, Cultural Heritage, Modelling, Photogrammetry, Underwater, Video Abstract. Exploration of various places using low-cost camera solutions over decades without having a photogrammetric application in mind has resulted in large collections of images and videos that may have significant cultural value. The purpose of collecting this data is often to provide a log of events and therefore the data is often unstructured and of varying quality. Depending on the equipment used there may be approximate location data available for the images but the accuracy of this data may also be of varying quality. In this paper we present an approach that can deal with these conditions and process datasets of this type to produce 3D models. Results from processing the dataset collected during the discovery and subsequent exploration of the HMAS Sydney and HSK Kormoran wreck sites shows the potential of our approach. The results are promising and show that there is potential to retrieve significantly more information from many of these datasets than previously thought possible.
Conference paper (PDF, 913 KB)


Citation: Hollick, J., Moncrieff, S., Belton, D., Woods, A. J., Hutchison, A., and Helmholz, P.: CREATION OF 3D MODELS FROM LARGE UNSTRUCTURED IMAGE AND VIDEO DATASETS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W1, 133-137, doi:10.5194/isprsarchives-XL-1-W1-133-2013, 2013.

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