Real-time dense 3D object reconstruction using RGB-D sensor

Alexey Ruchay; Konstantin Dorofeev; Vsevolod Kalschikov

doi:10.1117/12.2567253

21 August 2020 Real-time dense 3D object reconstruction using RGB-D sensor

Alexey Ruchay, Konstantin Dorofeev, Vsevolod Kalschikov

Proceedings Volume 11510, Applications of Digital Image Processing XLIII; 115102E (2020) https://doi.org/10.1117/12.2567253
Event: SPIE Optical Engineering + Applications, 2020, Online Only

Conference Poster

Abstract

In this paper, we propose a new algorithm for dense 3D object reconstruction using a RGB-D sensor at high rate. In order to obtain a dense shape recovery of a 3D object, an efficient merging of the current and incoming point clouds obtained with the Iterative Closest Point is suggested. As a result, incoming frames are aligned to the dense 3D model. The accuracy of the proposed 3D object reconstruction algorithm on real data is compared to that of the estate-of-the-art reconstruction algorithms.

Citation Download Citation

Alexey Ruchay, Konstantin Dorofeev, and Vsevolod Kalschikov "Real-time dense 3D object reconstruction using RGB-D sensor", Proc. SPIE 11510, Applications of Digital Image Processing XLIII, 115102E (21 August 2020); https://doi.org/10.1117/12.2567253

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