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An efficient detection of local features in depth maps
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Paper 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.

Paper Details

Date Published: 17 September 2018
PDF: 8 pages
Proc. SPIE 10752, Applications of Digital Image Processing XLI, 1075223 (17 September 2018); doi: 10.1117/12.2319913
Show Author Affiliations
Alexey Ruchay, Federal Research Ctr. of Biological Systems and Agro-Technologies (Russian Federation)
Chelyabinsk State Univ. (Russian Federation)
Konstantin Dorofeev, Chelyabinsk State Univ. (Russian Federation)
Anastasia Kober, Federal Research Ctr. of Biological Systems and Agro-Technologies (Russian Federation)


Published in SPIE Proceedings Vol. 10752:
Applications of Digital Image Processing XLI
Andrew G. Tescher, Editor(s)

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