Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5/W7, 277-281, 2015
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-5-W7/277/2015/
doi:10.5194/isprsarchives-XL-5-W7-277-2015
© Author(s) 2015. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
12 Aug 2015
Fusion of range-based data and image-based datasets for efficient documentation of cultural heritage objects and sites
J. L. Lerma, M. Cabrelles, and S. Navarro Universitat Politècnica de València (UPV), Photogrammetry & Laser Scanning Research Group (GIFLE), Department of Cartographic Engineering, Geodesy and Photogrammetry, C° de Vera s/n, Building 7i, 46022 Valencia, Spain
Keywords: Terrestrial laser scanning, Photogrammetry, Cultural heritage, Documentation, Registration, Recording Abstract. Nowadays it is possible to measure accurately dense point clouds either with aerial/terrestrial laser scanning systems or with imagebased solutions (namely based on photogrammetric computer vision algorithms such as structure-from-motion (SfM)), from which highly detailed 3D models can be achieved. Besides, direct tools in the form of simple devices such as rulers, compass and plumblines are usually required in simple metric surveys, as well as high-end surveying and geodetic instruments such as robotized imagebased total stations and GNSS (probably to a lesser degree but still required) to set the archaeological/architectural recording project in a global reference frame. With all this gamut of image-based and range-based sensors and datasets (in the form of coordinates, point clouds or 3D models), in different coordinate systems (most of the times local for each device), lack of uniform scale, orientation and levelling, the fusion of data tends to be cumbersome. This paper presents an efficient way to fuse and merge different datasets in the form of point clouds/3D models and geodetic/UTM coordinates. The new developed 3DVEM – Register GEO software is able to handle datasets coming from both direct and indirect methods in order to provide unified and precise deliverables.
Conference paper (PDF, 4595 KB)


Citation: Lerma, J. L., Cabrelles, M., and Navarro, S.: Fusion of range-based data and image-based datasets for efficient documentation of cultural heritage objects and sites, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-5/W7, 277-281, doi:10.5194/isprsarchives-XL-5-W7-277-2015, 2015.

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