An efficient detection of local features in depth maps

Alexey Ruchay; Konstantin Dorofeev; Anastasia Kober

doi:10.1117/12.2319913

17 September 2018 An efficient detection of local features in depth maps

Alexey Ruchay, Konstantin Dorofeev, Anastasia Kober

Proceedings Volume 10752, Applications of Digital Image Processing XLI; 1075223 (2018) https://doi.org/10.1117/12.2319913
Event: SPIE Optical Engineering + Applications, 2018, San Diego, California, United States

Abstract

In this paper, we propose an algorithm for the detection of local features in depth maps. The local features can be utilized for determination of special points for Iterative Closest Point (ICP) algorithms. The proposed algorithm employs a novel approach based a cascade mechanism, which can be applied for several 3D keypoint detection algorithms. Computer simulation and experimental results obtained with the proposed algorithm in real-life scenes are presented and compared with those obtained with state-of-the-art algorithms in terms of detection efficiency, accuracy, and speed of processing. The results show an improvement in the accuracy of 3D object reconstruction using the proposed algorithm followed by ICP algorithms.

Citation Download Citation

Alexey Ruchay, Konstantin Dorofeev, and Anastasia Kober "An efficient detection of local features in depth maps", Proc. SPIE 10752, Applications of Digital Image Processing XLI, 1075223 (17 September 2018); https://doi.org/10.1117/12.2319913

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