Design of an enhanced feature point matching algorithm utilizing 3D laser scanning technology for sculpture design.

ABSTRACT: As the aesthetic appreciation for art continues to grow, there is an increased demand for precision and detailed control in sculptural works. The advent of 3D laser scanning technology introduces transformative new tools and methodologies for refining correction systems in sculpture design. This article proposes a feature point matching algorithm based on fragment measurement and the iterative closest point (ICP) methodology, leveraging 3D laser scanning technology, namely Fragment Measurement Iterative Closest Point Feature Point Matching (FM-ICP-FPM). The FM-ICP-FPM approach uses the overlapping area of the two sculpture perspectives as a reference for attaching feature points. It employs the 3D measurement system to capture physical point cloud data from the two surfaces to enable the i

SUBMITTER: Zheng X 

PROVIDER: S-EPMC11784803 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature