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Proportions vs dimensions: shedding a different light on the analysis of 3D datasets

Abstract : In the last decades, many methods (e.g., digital photogrammetry, laser scanning, dense image matching, etc.) have been introduced that result in a renewed capacity of academics to produce large 3D datasets. Naturally research objectives, technological suites, levels of accuracy expected, or scales of objects under scrutiny strongly vary-hence a wide range of "outputs" corresponding to various data interpretation strategies. But with that renewed capacity a methodological question emerges: does the "massive amount" of 3D data a survey results in really corresponds to the analytical need? Ultimately, is the added-value of "going massive" undeniable? We argue that this capacity to "go massive" can also open opportunities to investigate new analytical filters. We base on the idea that more 3D data does not imply abandoning our capacity to synthesize-low cost survey suites can in fact give us a chance to revisit fundamental metrics in the history of architecture: proportions, rather than exhaustive dimensioning. We investigate how a low-res 3D point cloud can be re-read with the aim of identifying simple ratios and geometric relations, in other words of extracting meaningful architectural features, in the context of a citizen-science initiative. The paper underlines the cognitive potential of reading proportions in the history of architecture (both at design and analysis levels) and focuses on an experimentation conducted on a set of "comparable" edifices. The approach exemplifies a shift from a one-shot, exhaustive documentation of
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Submitted on : Monday, September 7, 2020 - 6:58:40 PM
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  • HAL Id : halshs-02928189, version 1



Jean-Yves Blaise, Iwona Dudek, Gamze Saygi. Proportions vs dimensions: shedding a different light on the analysis of 3D datasets. CAA series Computer applications and quantitative methods in archaeology, In press. ⟨halshs-02928189⟩



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