Digital Model in Close-Range Photogrammetry Using a Smartphone Camera

نویسندگان

چکیده

Smartphones recently expanded the potential for low-cost close-range photogrammetry 3D modeling. They enable simultaneous collection of large amounts data a variety requirements. It is possible to calculate image orientation elements and triangular coordinates in phases as Relative Absolute orientation. This study demonstrates photogrammetric reconstruction approach that performs on tablets smartphones well. Images are taken with smartphone cameras iPhone 6 then calibrated automatically using normal calibration model computer vision PC, depend Agisoft Lens add-on imbedded program, MATLAB camera Toolbox, by an oriented bunch images chessboard pattern point cloud-based picture matching. The results indicate processing routines pass without any error, accuracy estimated IOPs was convenient compared non-metric digital more accurate terms standard error. For model, 435 were used, 428 located from aligned two software, PhotoScan, LPS. number tie points used LPS 10 points, 4 control which estimate EOPs, regenerated PhotoScan 135.605 Dense cloud 3,716,912 generated, 316,253 faces after tiled generated (6 levels, 1.25 cm/pix), DEM having (2136×1774/pix), dimensions high-resolution orthomosaic (5520×4494, 4.47 cm/pix). assessment, Xerr. = 0.292 m, Yerr. 0.38577 Zerr.= 0.2889 total RMS 0.563 m locations exterior parameters.

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ژورنال

عنوان ژورنال: E3S web of conferences

سال: 2021

ISSN: ['2555-0403', '2267-1242']

DOI: https://doi.org/10.1051/e3sconf/202131804005