ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-5/W1, 67-72, 2013
http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-5-W1/67/2013/
doi:10.5194/isprsannals-II-5-W1-67-2013
© Author(s) 2013. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
30 Jul 2013
POINTS CLOUDS GENERATION USING TLS AND DENSE-MATCHING TECHNIQUES. A TEST ON APPROACHABLE ACCURACIES OF DIFFERENT TOOLS
F. Chiabrando and A. Spanò Politecnico di Torino, Department of Architecture and Design, 10125 Torino, Italy
Keywords: Passive sensors, dense-matching, 3D models, architectural Heritage, TLS Abstract. 3D detailed models derived from digital survey techniques has increasingly developed and focused in many field of application, ranging from the land and urban areas survey, using remote sensed data, to landscape assets and finally to Cultural Heritage items. The high detailed content and accuracy of such models makes them so attractive and usable for large sets of purposes.

The present paper is focused on a test aimed to point clouds generation fulfilled by archaeological data; active and passive sensors techniques and related image matching systems have been used in order to evaluate and compare the accuracy of results, achievable using proper TLS and low cost image-matching software and techniques.

After a short review of approachable methods some attained results will be discussed; the test area consists of a set of mosaic floorings in a late roman domus located in Aquileia (UD-Italy) requesting a very high level of details and high scale and precision. The experimental section provides the descriptions of the applied tests in order to compare the different software and the employed methods.

Conference paper (PDF, 537 KB)


Citation: Chiabrando, F. and Spanò, A.: POINTS CLOUDS GENERATION USING TLS AND DENSE-MATCHING TECHNIQUES. A TEST ON APPROACHABLE ACCURACIES OF DIFFERENT TOOLS, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-5/W1, 67-72, doi:10.5194/isprsannals-II-5-W1-67-2013, 2013.

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