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Rigid, affine and locally affine registration of free-form surfaces
A new framework to perform nonrigid surface registration is proposed. It is based on various extensions of an iterative algorithm recently presented by several researchers to rigidly register surfaces represented by a set of 3D points, when a prior estimate of the displacement is available. The fram...
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Published in: | International journal of computer vision 1996-05, Vol.18 (2), p.99-119 |
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container_end_page | 119 |
container_issue | 2 |
container_start_page | 99 |
container_title | International journal of computer vision |
container_volume | 18 |
creator | FELDMAR, J AYACHE, N |
description | A new framework to perform nonrigid surface registration is proposed. It is based on various extensions of an iterative algorithm recently presented by several researchers to rigidly register surfaces represented by a set of 3D points, when a prior estimate of the displacement is available. The framework consists of three stages: search for the best rigid displacement to superpose the two surfaces; search for the best affine transformation; and local deformation of the surface. All these stages are illustrated with experiments on various real biomedical surfaces, which demonstrate the validity of the approach. |
doi_str_mv | 10.1007/bf00054998 |
format | article |
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All these stages are illustrated with experiments on various real biomedical surfaces, which demonstrate the validity of the approach.</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Bioengineering</subject><subject>Computer Science</subject><subject>Computer science; control theory; systems</subject><subject>Engineering Sciences</subject><subject>Exact sciences and technology</subject><subject>Imaging</subject><subject>Life Sciences</subject><subject>Medical Imaging</subject><subject>Modeling and Simulation</subject><subject>Pattern recognition. Digital image processing. 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ispartof | International journal of computer vision, 1996-05, Vol.18 (2), p.99-119 |
issn | 0920-5691 1573-1405 |
language | eng |
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source | Springer Online Journal Archives |
subjects | Applied sciences Artificial intelligence Bioengineering Computer Science Computer science control theory systems Engineering Sciences Exact sciences and technology Imaging Life Sciences Medical Imaging Modeling and Simulation Pattern recognition. Digital image processing. Computational geometry Signal and Image processing |
title | Rigid, affine and locally affine registration of free-form surfaces |
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