Accuracy analysis of 3D object shape recovery using depth filtering algorithms

Alexey Ruchay; Konstantin Dorofeev; Anastasia Kober; Vladimir Kolpakov; Vsevolod Kalschikov

doi:10.1117/12.2319907

17 September 2018 Accuracy analysis of 3D object shape recovery using depth filtering algorithms

Alexey Ruchay, Konstantin Dorofeev, Anastasia Kober, Vladimir Kolpakov, Vsevolod Kalschikov

Proceedings Volume 10752, Applications of Digital Image Processing XLI; 1075221 (2018) https://doi.org/10.1117/12.2319907
Event: SPIE Optical Engineering + Applications, 2018, San Diego, California, United States

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.

Citation Download Citation

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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