2018
DOI: 10.5194/isprs-archives-xlii-2-185-2018
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Evaluation of Photogrammetric Block Orientation Using Quality Descriptors From Statistically Filtered Tie Points

Abstract: ABSTRACT:Due to the increasing number of low-cost sensors, widely accessible on the market, and because of the supposed granted correctness of the semi-automatic workflow for 3D reconstruction, highly implemented in the recent commercial software, more and more users operate nowadays without following the rigorousness of classical photogrammetric methods. This behaviour often naively leads to 3D products that lacks metric quality assessment. This paper proposes and analyses an approach that gives the users the… Show more

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Cited by 8 publications
(5 citation statements)
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“…Regarding the estimation accuracy of the Internal Orientation parameters, a GUI (Graphical User Interface) named GEMINI (Graphically Enhanced MicMac's New Interface), specifically designed for assessing the quality of photogrammetric block orientation, has been used (Calantropio et al, 2018b). The purpose of GEMINI is not only to present a user-friendly environment; its main aim is to allow the user to understand and criticise the obtained results systematically in a guided way, preserving the automation of the process.…”
Section: Data Processing Methodsmentioning
confidence: 99%
“…Regarding the estimation accuracy of the Internal Orientation parameters, a GUI (Graphical User Interface) named GEMINI (Graphically Enhanced MicMac's New Interface), specifically designed for assessing the quality of photogrammetric block orientation, has been used (Calantropio et al, 2018b). The purpose of GEMINI is not only to present a user-friendly environment; its main aim is to allow the user to understand and criticise the obtained results systematically in a guided way, preserving the automation of the process.…”
Section: Data Processing Methodsmentioning
confidence: 99%
“…Photogrammetry has proven, in the last decade, to be a reliable and cost-effective survey technique presenting undoubtedly advantages with respect to other metric survey methodologies [36]. Because of the impossibility of performing a UAV photogrammetric survey in the archaeological site of the VOK, a terrestrial survey was conducted instead.…”
Section: Photogrammetric Surveymentioning
confidence: 99%
“…Since the tie-points are matched according to the feature spots detected, it might be useful to upscale source images to localize tie-points more accurately. However a higher number of tie-points does not necessarily correspond to a correct alignment (Calantropio et al, 2018); therefore, filters should be used only when consistent results cannot be obtained due to poor quality of the original images, as they might introduce an undesired level of noise (and a higher reprojection error). The exploratory considerations done so far will serve for an extensive benchmarking (cloud-to-cloud, density and roughness, analysis), that can be undertaken for an in-depth assessment of the presented filters.…”
Section: Image Enhancement Filtersmentioning
confidence: 99%