A more repeatable and robust local reference frame for 3D local surface description

Rongrong Lu; Feng Zhu; Qingxiao Wu; Xingyin Fu

doi:10.1117/12.2524177

6 May 2019 A more repeatable and robust local reference frame for 3D local surface description

Rongrong Lu, Feng Zhu, Qingxiao Wu, Xingyin Fu

Proceedings Volume 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018); 1106913 (2019) https://doi.org/10.1117/12.2524177
Event: Tenth International Conference on Graphic and Image Processing (ICGIP 2018), 2018, Chengdu, China

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.

Citation Download Citation

Rongrong Lu, Feng Zhu, Qingxiao Wu, and Xingyin Fu "A more repeatable and robust local reference frame for 3D local surface description", Proc. SPIE 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018), 1106913 (6 May 2019); https://doi.org/10.1117/12.2524177

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