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Description
Efficient and accurate point set registration is an important task in 3D scene reconstruction in computer vision.
This paper presents a method called Curvature Surface Iterative Closest Point (CS-ICP) for precise point set registration. By leveraging the curvature characteristics of the point set input, CS-ICP resolves local minima challenges encountered by standard ICP algorithms, demonstrating superior precision across various datasets.
Additionally, CS-ICP significantly reduces computation time by working with fewer points per iteration, reducing the runtime by around 83\% compared to the reference methods.
This paper also introduces evaluation criteria based on Euclidean and Chebyshev measures, offering a better assessment of point set registration quality without needing additional attributes such as evaluation ICP threshold.
