Construction and performance evaluation of an efficient local feature descriptor based on polar coordinates

Fujing Zhou; Bao Zhao

doi:10.1117/12.3031332

19 July 2024 Construction and performance evaluation of an efficient local feature descriptor based on polar coordinates

Fujing Zhou, Bao Zhao

Author Affiliations +

Proceedings Volume 13181, Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024); 1318137 (2024) https://doi.org/10.1117/12.3031332
Event: Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), 2024, Beijing, China

Abstract

This study combines geometric features based on Point Pair Features (PPFs) and spatial features under polar coordinates to innovatively design a series of new local feature descriptors. Through an exhaustive examination and comparison across four benchmark datasets (B3R, U3OR, U3M, and QuLD) in relation to these descriptors, along with the assessment against three contemporary descriptors (SHOT, LFSH, and SDASS), the superior efficacy of the novel descriptors becomes evident. Experimental findings showcase that, in terms of overall efficacy, fr(α1α2α3) stands out as the most remarkable performer, showcasing exceptional compactness and efficiency. Upon rectifying LRF/A errors, descriptors founded on 'rea' exhibit optimal performance, underscoring their exceptional discriminative prowess. In contrast to established descriptors like SHOT, LFSH, and SDASS, the recently introduced descriptors, such as fr(α1α2α3), fre(α1α3), and fr(α1α3), manifest significant advancements in terms of compactness and efficiency. The significance of this research lies in furnishing a set of local feature descriptors that excel in three-dimensional computer vision, and it elucidates their potential applications in 3D pairwise registration through empirical studies.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Fujing Zhou and Bao Zhao "Construction and performance evaluation of an efficient local feature descriptor based on polar coordinates", Proc. SPIE 13181, Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), 1318137 (19 July 2024); https://doi.org/10.1117/12.3031332

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KEYWORDS

Laser range finders

Point clouds

3D modeling

3D acquisition

Clouds

Computation time

Feature extraction

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