Abstract The 2D Fourier Descriptor is an elegant and powerful technique for 2D shape analysis. This paper intends to extend such technique to 3D. Though conceptually natural, such an extension is not trivial in that two critical problems, the spherical parametrization and invariants construction, must be solved. By using a newly developed surface parametrization method–the discrete conformal mapping (DCM)—we propose a 3D Fourier Descriptor (3D-FD) for representing and recognizing arbitrarily-complex genus-zero mesh objects. A new DCM algorithm is suggested which solves the first problem efficiently. We also derive a method to construct a truly complete set of Spherical Harmonic invariants. The 3D-FD descriptors have been tested on different complex mesh objects. Experiment results for shape representation are satisfactory.
New 3D Fourier Descriptors for Genus-Zero Mesh Objects
Computer Vision – ACCV 2006 ; 8 ; 734-743
Lecture Notes in Computer Science ; 3851 , 8
2006-01-01
10 pages
Article/Chapter (Book)
Electronic Resource
English
Conformal Mapping , Spherical Harmonic , Shape Representation , Spherical Harmonic Expansion , Fourier Descriptor Computer Science , Computer Imaging, Vision, Pattern Recognition and Graphics , Pattern Recognition , Image Processing and Computer Vision , Artificial Intelligence (incl. Robotics) , Algorithm Analysis and Problem Complexity
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