Three-dimensional object registration using wavelet features

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2008.

Bibliographic Details
Main Author: Chalfant, Julie Steele
Other Authors: Nicholas M. Patrikalakis.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2008
Subjects:
Online Access:http://hdl.handle.net/1721.1/43147
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author Chalfant, Julie Steele
author2 Nicholas M. Patrikalakis.
author_facet Nicholas M. Patrikalakis.
Chalfant, Julie Steele
author_sort Chalfant, Julie Steele
collection MIT
description Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2008.
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spelling mit-1721.1/431472019-04-10T14:42:57Z Three-dimensional object registration using wavelet features 3-D object registration using wavelet features Chalfant, Julie Steele Nicholas M. Patrikalakis. Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Massachusetts Institute of Technology. Dept. of Mechanical Engineering. Mechanical Engineering. Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2008. Includes bibliographical references (p. 97-109). Recent developments in shape-based modeling and data acquisition have brought three-dimensional models to the forefront of computer graphics and visualization research. New data acquisition methods are producing large numbers of models in a variety of fields. Three-dimensional shape-based matching and registration (alignment) are key to the useful application of such models in areas from automated surface inspection to cancer detection and surgery. The three-dimensional models in these applications are typically huge. State-of-the-art simulations in computational fluid dynamics produce upward of four terabytes of data per second of flow. Research-level magnetic resonance imaging (MRI) resolutions can reach 1 cubic micro-meter. As a result, object registration and matching algorithms must handle very large amounts of data. The algorithms developed in this thesis accomplish automatic registration and matching of three-dimensional voxelized models. We employ features in a wavelet transform domain to accomplish registration. The features are extracted in a multiresolutional format, thus delineating features at various scales for robust and rapid matching. Registration is achieved through seeking peaks in sets of rotation quaternions using a voting scheme, then separately identifying translation. The method is robust to occlusion, clutter and noise. The efficacy of the algorithm is demonstrated through examples from solid modeling and medical imaging applications. by Julie S. Chalfant. Ph.D. 2008-11-07T19:08:33Z 2008-11-07T19:08:33Z 2008 2008 Thesis http://hdl.handle.net/1721.1/43147 247965922 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 109 leaves application/pdf Massachusetts Institute of Technology
spellingShingle Mechanical Engineering.
Chalfant, Julie Steele
Three-dimensional object registration using wavelet features
title Three-dimensional object registration using wavelet features
title_full Three-dimensional object registration using wavelet features
title_fullStr Three-dimensional object registration using wavelet features
title_full_unstemmed Three-dimensional object registration using wavelet features
title_short Three-dimensional object registration using wavelet features
title_sort three dimensional object registration using wavelet features
topic Mechanical Engineering.
url http://hdl.handle.net/1721.1/43147
work_keys_str_mv AT chalfantjuliesteele threedimensionalobjectregistrationusingwaveletfeatures
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