1 research outputs found
The Z-axis, X-axis, Weight and Disambiguation Methods for Constructing Local Reference Frame in 3D Registration: An Evaluation
The local reference frame (LRF), as an independent coordinate system
generated on a local 3D surface, is widely used in 3D local feature descriptor
construction and 3D transformation estimation which are two key steps in the
local method-based surface matching. There are numerous LRF methods have been
proposed in literatures. In these methods, the x- and z-axis are commonly
generated by different methods or strategies, and some x-axis methods are
implemented on the basis of a z-axis being given. In addition, the weight and
disambiguation methods are commonly used in these LRF methods. In existing
evaluations of LRF, each LRF method is evaluated with a complete form. However,
the merits and demerits of the z-axis, x-axis, weight and disambiguation
methods in LRF construction are unclear. In this paper, we comprehensively
analyze the z-axis, x-axis, weight and disambiguation methods in existing LRFs,
and obtain six z-axis and eight x-axis, five weight and two disambiguation
methods. The performance of these methods are comprehensively evaluated on six
standard datasets with different application scenarios and nuisances.
Considering the evaluation outcomes, the merits and demerits of different
weight, disambiguation, z- and x-axis methods are analyzed and summarized. The
experimental result also shows that some new designed LRF axes present superior
performance compared with the state-of-the-art ones