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JOURNALS // Computer Optics // Archive

Computer Optics, 2020 Volume 44, Issue 1, Pages 67–73 (Mi co763)

This article is cited in 13 papers

IMAGE PROCESSING, PATTERN RECOGNITION

An efficient algorithm for non-rigid object registration

A. Yu. Makovetskii, S. M. Voronin, V. I. Kober, A. V. Voronin

Chelyabinsk State University, ul. Bratiev Kashirinykh, 129, 454001, Chelyabinsk, Russia

Abstract: An efficient algorithm for registration of two non-rigid objects based on geometrical transformation of the template object to target object is proposed. The transformation is considered as warping of the template onto the target. To choose the most suitable transformation from all possible warps, a registration algorithm should satisfy deformation constraints referred to as regularization of non-rigid objects. In this work, we use variational functionals for affine transformations. With the help of computer simulation, the proposed method for searching the optimal geometrical transformation is compared with that of common algorithms.

Keywords: iterative closest points, nonrigid ICP, shape registration, affine transformation, orthogonal transformation, point-to-point, point-to-plane, deformable surfaces.

Received: 20.06.2019
Accepted: 31.10.2019

Language: English

DOI: 10.18287/2412-6179-CO-586



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