Share Email Print
cover

Proceedings Paper • new

A more repeatable and robust local reference frame for 3D local surface description
Author(s): Rongrong Lu; Feng Zhu; Qingxiao Wu; Xingyin Fu
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Building 3D local surface feature with a local reference frame (LRF) can obtain rotational invariance and make use of 3D spatial information, thereby boosting the distinctiveness of a 3D local feature. However, this situation is based on the assumption that the LRF is stable and repeatable. Owing to the disturbances like noise, point density variation, occlusion and clutter, LRF may suffer ambiguity so that limit the ability of a LRF-based 3D local feature. This paper presents an efficient method for LRF construction. The experimental results show the superior performance of our proposed LRF in terms of repeatability and robustness on several popular datasets by comparing with the state-of-the-art methods. Moreover, our method is computational efficient as well.

Paper Details

Date Published: 6 May 2019
PDF: 9 pages
Proc. SPIE 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018), 1106913 (6 May 2019); doi: 10.1117/12.2524177
Show Author Affiliations
Rongrong Lu, Shenyang Institute of Automation (China)
Univ. of Chinese Academy of Sciences (China)
Key Lab. of Opto-Electronic Information Processing (China)
Feng Zhu, Shenyang Institute of Automation (China)
Key Lab. of Opto-Electronic Information Processing (China)
Key Lab. of Image Understanding and Computer Vision (China)
Qingxiao Wu, Shenyang Institute of Automation (China)
Key Lab. of Opto-Electronic Information Processing (China)
Key Lab. of Image Understanding and Computer Vision (China)
Xingyin Fu, Shenyang Institute of Automation (China)
Univ. of Chinese Academy of Sciences (China)
Key Lab. of Opto-Electronic Information Processing (China)


Published in SPIE Proceedings Vol. 11069:
Tenth International Conference on Graphics and Image Processing (ICGIP 2018)
Chunming Li; Hui Yu; Zhigeng Pan; Yifei Pu, Editor(s)

© SPIE. Terms of Use
Back to Top