Three-Dimensional Object Registration Using Wavelet Features
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Patrikalakis_Three-Dimensional.pdf
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850.51 KB
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Checksum (MD5)
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Author(s)
Chalfant, Julie
Patrikalakis, Nicholas M.
Date Issued
June 2009
Journal
Engineering with Computers
Publisher
Springer London
Citation
Chalfant, Julie, and Nicholas Patrikalakis. “Three-dimensional object registration using wavelet features.” Engineering with Computers 25.3 (2009): 303-318. Web.
Version
Author's final manuscript
Abstract
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 registration (alignment) is key to the useful application of such models in areas from automated surface inspection to cancer detection and surgery. The algorithms developed in this research accomplish automatic registration of three-dimensional voxelized models. We employ features in a wavelet transform domain to accomplish registration. The features are extracted in a multi-resolutional format, thus delineating features at various scales for robust and rapid matching. Registration is achieved by using a voting scheme to select peaks in sets of rotation quaternions, 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.
Subjects
wavelets
shape-based matching
3D object registration
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Massachusetts Institute of Technology. Sea Grant College Program
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
http://dx.doi.org/10.1007/s00366-009-0126-5
