Page 1 DE GRUYTER EXPOSITIONS IN MATHEMATICS AA Karatsuba S. M. Voronin 5 The
Riemann Zeta-Function WEG W DE Page 2 Page 3 Page 4 Page 5 de Gruyter Expositions …

The most popular algorithm for aligning of three‐dimensional point data is the iterative closest
point (ICP). In this paper, a new algorithm for orthogonal registration of point clouds based …

An important part of the well-known iterative closest point algorithm (ICP) is the variational
problem. Several variants of the variational problem are known, such as point-to-point, point-to…

Point cloud collection forming a 3D scene typically uses information from multiple data scans.
The common approach is to register the point cloud pairs consequentially using a variant …

The registration of point clouds in a three-dimensional space is an important task in many
areas of computer vision, including robotics and autonomous driving. The purpose of …

The problem of aligning of 3D point data is the known registration task. The most popular
registration algorithm is the Iterative Closest Point (ICP) algorithm. The traditional ICP algorithm …

Recently, there has been essential progress in the field of deep learning, which has led to
compelling advances in most of the semantic tasks of computer vision, such as classification, …

Let f: z--z+... be a conformal mapping of a neighborhood of zero (here and throughout what
follows, dots denote higher terms in z),.~ 4 be the set of these f. Definition. Let f, g~~. The …

The key point of the ICP algorithm is the search of either an orthogonal or affine transformations,
which is the best in sense of the quadratic metric to combine two point clouds with a …

The rapid progress in machine learning models has significantly boosted the potential for
real-world applications such as autonomous vehicles, disease diagnoses, and recognition of …