3D Keypoints Detection from a 3D Point Cloud for Real-Time Camera Tracking
Author:
Affiliation:
1. Department of Information Engineering, Graduate School of Engineering, Hiroshima University
Publisher
Institute of Electrical Engineers of Japan (IEE Japan)
Subject
Electrical and Electronic Engineering
Link
https://www.jstage.jst.go.jp/article/ieejeiss/133/1/133_84/_pdf
Reference19 articles.
1. Distinctive Image Features from Scale-Invariant Keypoints
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3. (4) D. G. Lowe: “Fitting Parametrized Three-Dimensional Models to Images”, PAMI, Vo. 13, No. 5, pp. 441-450 (1991)
4. (5) E. Akagunduz and I. Ulusoy: “Extraction of 3D Transform and Scale Invariant Patches from Range Scans”, CVPR (2007)
5. (6) M. Haker, M. Bohme, T. Martinetz, and E. Barth: “Scale-invariant Range Features for Time-of-flight Camera Applications”, CVPRW (2008)
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1. Scale invariant point feature (SIPF) for 3D point clouds and 3D multi-scale object detection;Neural Computing and Applications;2017-05-18
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