23 May 2013 View integration technique using multi-resolution point clouds in 3D modeling
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In this paper we focus on integrating multi-resolution data from different range sensors into complete 3D model. To simplify the process of building high-resolution model, we propose to create hierarchical structure of data, which contains measurements collected with both time of flight scanner and structured light projection system. Two approaches of view integration are compared with each other to formulate conclusion if combining data from different range sensors allows to improve integration process or leads to data redundancy. According to the first approach, data at higher resolution are mapped on those at lower resolution according to interest features extracted in the datasets. Interest points are calculated with Harris detector on base of curvature and texture (when available) and described with designed descriptors. Second approach assumes that only data at the highest resolution can be used and no reference is involved in integration process. At the end, the summarizing remarks are formulated according to the test results conducted on real 3D measurements.
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E. Hołowko, E. Hołowko, R. Sitnik, R. Sitnik, } "View integration technique using multi-resolution point clouds in 3D modeling", Proc. SPIE 8791, Videometrics, Range Imaging, and Applications XII; and Automated Visual Inspection, 87910D (23 May 2013); doi: 10.1117/12.2020537; https://doi.org/10.1117/12.2020537

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