Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W5, 591-599, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W5-591-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
21 Aug 2017
A CRITICAL REVIEW OF AUTOMATED PHOTOGRAMMETRIC PROCESSING OF LARGE DATASETS
F. Remondino, E. Nocerino, I. Toschi, and F. Menna 3D Optical Metrology (3DOM) unit, Bruno Kessler Foundation (FBK), Trento, Italy
Keywords: photogrammetry, automation, accuracy, precision, bundle adjustment, dense image matching, comparison Abstract. The paper reports some comparisons between commercial software able to automatically process image datasets for 3D reconstruction purposes. The main aspects investigated in the work are the capability to correctly orient large sets of image of complex environments, the metric quality of the results, replicability and redundancy. Different datasets are employed, each one featuring a diverse number of images, GSDs at cm and mm resolutions, and ground truth information to perform statistical analyses of the 3D results. A summary of (photogrammetric) terms is also provided, in order to provide rigorous terms of reference for comparisons and critical analyses.
Conference paper (PDF, 2510 KB)


Citation: Remondino, F., Nocerino, E., Toschi, I., and Menna, F.: A CRITICAL REVIEW OF AUTOMATED PHOTOGRAMMETRIC PROCESSING OF LARGE DATASETS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W5, 591-599, https://doi.org/10.5194/isprs-archives-XLII-2-W5-591-2017, 2017.

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