Three-Dimensional Object Registration Using Wavelet Features
Author(s)Chalfant, Julie; Patrikalakis, Nicholas M.
MetadataShow full item record
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.
DepartmentMassachusetts Institute of Technology. Department of Mechanical Engineering; Massachusetts Institute of Technology. Sea Grant College Program
Engineering with Computers
Chalfant, Julie, and Nicholas Patrikalakis. “Three-dimensional object registration using wavelet features.” Engineering with Computers 25.3 (2009): 303-318. Web.
Author's final manuscript
wavelets, shape-based matching, 3D object registration