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A New Gait-Based Identification Method Using Local Gauss Maps Read chapter Read first chapter

2015 | OriginalPaper | Chapter

Global Volumetric Image Registration Using Local Linear Property of Image Manifold

Authors : Hayato Itoh, Atsushi Imiya, Tomoya Sakai

Published in: Computer Vision - ACCV 2014 Workshops

Publisher: Springer International Publishing

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Abstract

We propose a three-dimensional global image registration method for a sparse dictionary. To achieve robust and accurate registration, which based on template matching, a large number of transformed images are prepared and stored in the dictionary. To reduce the spatial complexity of this image dictionary, we introduce a method of generating a new template image from a collection of images stored in the image dictionary. This generated template image allows us to achieve accurate image registration even if the population of the image dictionary is relatively small and the template has a small pattern perturbation. To further reduce the complexity, we compute a matching process in a low-dimensional Euclidean space projected by a random projection.

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previous chapter Evaluation of Depth-Based Super Resolution on Compressed Mixed Resolution 3D Video
next chapter A Comparative Study of GPU-Accelerated Multi-view Sequential Reconstruction Triangulation Methods for Large-Scale Scenes
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Metadata
Title
Global Volumetric Image Registration Using Local Linear Property of Image Manifold
Authors
Hayato Itoh
Atsushi Imiya
Tomoya Sakai
Copyright Year
2015
Book
Computer Vision - ACCV 2014 Workshops

Print ISBN: 978-3-319-16627-8

Electronic ISBN: 978-3-319-16628-5

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-16628-5_18

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