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A Method of Evaluating the Internal Precision of Multi-View Stereo Dense Reconstruction, Applied on Parthenon Frieze Methode zur Bewertung der internen Genauigkeit einer Dense-Stereo-Messung, dargestellt am Parthenonfries

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Recent advances in Structure-from-Motion (SfM) and multi-view stereo (MVS) techniques are getting a lot of attention in the 3D modeling community, as they provide a sophisticated, versatile and rapid way to compute dense 3D point clouds. Many applications in archeology and aerial, surface or underwater surveys have been reported based in the combination of SfM and MVS. In addition, they become more popular and widespread as commercial applications and Internet services are emerging. Nevertheless, there is no known way to evaluate the precision of the extracted point cloud. This paper presents a method for estimating the precision of each point in the final point cloud generated by open source MVS, as it is applied to the Parthenon frieze in the Acropolis Museum.

German
Die neueren Entwicklungen bei Structure-from-Motion (SfM) und multi-view stereo (MVS) sind von großem Interesse, weil sie eine differenzierte, praktische und schnelle Methode zur Erzeugung von 3D-Punktwolken darstellen. Man findet viele Anwendungen, z.B. in der Archäologie und bei der Datenerfassung aus der Luft, auf dem Boden und unter Wasser. Verstärkt wird die Entwicklung durch die vielen neuen kommerziellen Lösungen, aber auch die freien Angebote, besonders im Internet. Es fehlen aber noch allgemein anerkannte Methoden zur Bewertung der Genauigkeit der erzeugten Punktwolke. Dieser Artikel stellt eine Methode zur Bestimmung der Genauigkeit jedes einzelnen Punktes einer Punktwolke vor, die mit MVS erzeugt wurde. Der Datensatz wurde am Parthenonfries gewonnen.
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Keywords: COMPUTER VISION; MVS; PARTHENON FRIEZE; PRECISION

Document Type: Conference Report

Publication date: June 1, 2014

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  • Photogrammetrie - Fernerkundung - Geoinformation (PFG) is an international scholarly journal covering the progress and application of photogrammetric methods, remote sensing technology and the intricately connected field of geoinformation processing.

    Papers published in PFG highlight new developments and applications of these technologies in practice. The journal hence addresses both researchers and student of these disciplines at academic institutions and universities and the downstream users in both the private sector and public administration.

    PFG places special editorial emphasis on the communication of new methodologies in data acquisition, new approaches to optimized processing and interpretation of all types of data which were acquired by photogrammetric methods, remote sensing, image processing and the computer-aided interpretation of such data in general.

    PFG is the official journal of the German Society of Photogrammetry and Remote Sensing.
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