The Effects of UAV-Captured Image Degradation Issues on the Quality of 3D Reconstruction
Publication: Construction Research Congress 2022
ABSTRACT
Image-based 3D reconstruction is a prerequisite technology, prior to establishing the as-built spatial data of the built environment for many purposes, including progress monitoring of construction sites, quality control, energy performance assessment, and structural integrity evaluation. Unmanned aerial vehicles (UAVs) are an emerging technology that allows for effective remote image acquisition through the integration of digital cameras. It has been widely applied to data surveying in various fields due to its lower cost, ease of use, and flexible access to hard-to-reach locations. While UAVs provide great potential in efficiently capturing high-quality images for 3D reconstruction, the spatial data collection process is prone to image degradation issues. The external environmental factors like wind that may lead to instability of the UAV platform, and inappropriate camera settings can cause degradation in the quality of captured images such as motion blur, overexposure, and underexposure in light. In this paper, the influence of image degradation issues on image-based 3D reconstruction is explored. Four types of commonly occurring degradation sources including motion blur, out-of-focus blur, as well as underexposure and overexposure to light are studied. The image degradation effects were artificially generated on a real scenario and the quality of 3D reconstruction was evaluated. In the experiments conducted, the intensity of degradation and percentage of degraded images were varied, for each source of degradation, to understand the effect on reconstruction quality. The results indicated motion blurred images led to significant loss in semantic information which posed the greatest impact on 3D reconstruction quality.
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Construction Research Congress 2022
Pages: 889 - 899
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Published online: Mar 7, 2022
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