The paper presents a simulation approach to photogrammetry-based three-dimensional (3D) data acquisition. Photogrammetry requires capturing of series of overlapping photos with certain properties from which 3D reconstruction is later obtained. Scanning a building or a human or jewellery requires different numbers of cameras, setup parameters, spatial orientations, etc. Without precise information on how to effectively take photos, obtaining them can be tedious work without any guarantees that it will provide sufficient 3D reconstruction quality. The proposed simulation approach aims to ease the aforementioned burdens and contributes by improving the process of photogrammetry-based 3D data acquisition. The presented simulator is tested in the context of the development of a 3D scanning system for human body scanning and avatar creation. The experiments confirm that the proposed method leads to an improved quality of 3D object reconstruction in comparison to previous practice in the field of 3D human scanning. Further, it lowers the cost and shortens the time required for the industrial process of construction of 3D scanning systems, thus confirming the value and validity of the presented approach.
In this paper we research the influence of background subtraction on photogrammetry pipeline when creating 3D print ready human body data. Background subtraction is a technique in image processing where image background is removed from the image and only foreground is left for further processing. The goal of the paper is to assess whether background subtraction could influence positively or negatively the photogrammetric processing of photographs. The research is aimed at the freely available software that natively does not support background subtraction, but also does not forbid the use of background subtraction. We aim to find out whether the software could benefit from adding background subtraction algorithms into their processing pipelines.
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