The experimental results show that DNSS has better efficiency, quality, and reliability than both normal- based and feature-based methods. Index Terms—Iterative ...

Feb 23, 2018 · In this paper, a new algorithm called DNSS is developed to constrain both translation and rotation at the same time by introducing a dual-normal space.

This paper extends the fundamental idea of NSS and proposes Dual NSS (DNSS) to sample points in both translational and rotational normal spaces. Compared with ...

A new algorithm called DNSS is developed to constrain both translation and rotation at the same time by introducing a dual-normal space and experimental ...

Kwok, Tsz-Ho. "DNSS: Dual-Normal-Space Sampling for 3-D ICP Registration." IEEE Transactions on Automation Science and Engineering (2018).

KWOK: DNSS FOR 3-D ICP REGISTRATION. 243 to [12]–[14]. This section mainly reviews the works related to ICP and the point selection methods. A. Registration ...

DNSS: Dual-Normal-Space Sampling for 3-D ICP Registration. Kwok, T. IEEE Trans Autom. Sci. Eng., 16(1):241–252, 2019. DNSS: Dual-Normal-Space Sampling for 3 ...

. DNSS: Dual-normal-space sampling for 3-D ICP registration [pdf Paper doi bibtex @article{kwok2018dnss, title={DNSS: Dual-normal-space sampling for 3-D ICP ...

... The methods based on down-sampling the points in normal spaces are normal-space sampling (NSS) [56] and dual normal-space sampling (DNSS) [57] . NSS samples ...

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