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17 September 2018 Accuracy analysis of 3D object shape recovery using depth filtering algorithms
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Abstract
In this paper, we estimate the accuracy of 3D object reconstruction using depth filtering and data from a RGB-D sensor. Depth filtering algorithms carry out inpainting and upsampling for defective depth maps from a RGB-D sensor. In order to improve the accuracy of 3D object reconstruction, an efficient and fast method of depth filtering is designed. Various methods of depth filtering are tested and compared with respect to the reconstruction accuracy using real data. The presented results show an improvement in the accuracy of 3D object reconstruction using depth filtering from a RGB-D sensor.
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Alexey Ruchay, Konstantin Dorofeev, Anastasia Kober, Vladimir Kolpakov, and Vsevolod Kalschikov "Accuracy analysis of 3D object shape recovery using depth filtering algorithms", Proc. SPIE 10752, Applications of Digital Image Processing XLI, 1075221 (17 September 2018); https://doi.org/10.1117/12.2319907
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