30 September 1996 Data-dependent tetrahedrization
Author Affiliations +
The numerous applications of surface interpolation include the modeling and visualization of physical phenomena. A tetrahedrization is the one of pre-processing steps for 4D surface interpolation. The quality of a piecewise linear interpolation in 4D space depends not only on the distribution of the data points in R3, but also on the data values. One can improve the quality of an approximation by using data dependent criteria. This paper discusses Delaunay tetrahedrization method (sphere criterion) and one of the data dependent tetrahedrization methods (least squares fitting criterion). This paper also discusses new data dependent criteria: (1) gradient difference, and (2) jump in normal direction derivatives.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kun Lee, "Data-dependent tetrahedrization", Proc. SPIE 2826, Vision Geometry V, (30 September 1996); doi: 10.1117/12.251815; https://doi.org/10.1117/12.251815


Robust hashing for 3D models
Proceedings of SPIE (February 19 2014)
Improving visualization by capturing domain knowledge
Proceedings of SPIE (February 28 2000)
Visualization assisted by parallel processing
Proceedings of SPIE (January 25 2011)
Fusion Of Multisensor Data Into 3-D Spatial Information
Proceedings of SPIE (January 05 1989)
Methods for evaluating the perceptual quality of VDUs
Proceedings of SPIE (October 01 1990)

Back to Top