Performance evaluation of single and cross‐dimensional feature detection and description-Reference-Cited by-同舟云学术

Performance evaluation of single and cross‐dimensional feature detection and description

Published:2020-07-06 Issue:10 Volume:14 Page:2035-2051
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Kechagias‐Stamatis Odysseas¹²^ORCID,Aouf Nabil¹,Richardson Mark A.²

Affiliation:

1. Department of Electrical and Electronic Engineering, City University of LondonEC1V 0HBLondonUK

2. Centre for Electronic Warfare Information and Cyber, Cranfield University Defence and SecurityShrivenhamUK

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2019.1523

Reference60 articles.

1. Performance Evaluation of 3D Keypoint Detectors

2. A Comprehensive Performance Evaluation of 3D Local Feature Descriptors

3. A quantitative evaluation of comprehensive 3D local descriptors generated with spatial and geometrical features

4. SpezialettiR. SaltiS. Di StefanoL.: ‘Performance evaluation of learned 3D features’.Lecture Notes in Computer Science (including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2019(LNCS 11751) pp.519–531

5. Evaluating 3D local descriptors and recursive filtering schemes for LIDAR‐based uncooperative relative space navigation;Kechagias‐Stamatis O.;J. F. Robot.,2019

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