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This article is cited in 13 scientific papers (total 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
Citation:
A. Yu. Makovetskii, S. M. Voronin, V. I. Kober, A. V. Voronin, “An efficient algorithm for non-rigid object registration”, Computer Optics, 44:1 (2020), 67–73
Linking options:
https://www.mathnet.ru/eng/co763 https://www.mathnet.ru/eng/co/v44/i1/p67
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