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Large-scale modeling of parametric surfaces using spherical harmonics (2006)
| Content Provider | CiteSeerX |
|---|---|
| Author | Shen, Li |
| Description | We present an approach for large-scale modeling of parametric surfaces using spherical harmonics (SHs). A standard least square fitting (LSF) method for SH expansion is not scalable and cannot accurately model large 3D surfaces. We propose an iterative residual fitting (IRF) algorithm, and demonstrate its effectiveness and scalability in creating accurate SH models for large 3D surfaces. These large-scale and accurate parametric models can be used in many applications in computer vision, graphics, and biomedical imaging. As a simple extension of LSF, IRF is very easy to implement and requires few machine resources. 1. |
| File Format | |
| Language | English |
| Publisher Date | 2006-01-01 |
| Publisher Institution | In Third International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT |
| Access Restriction | Open |
| Subject Keyword | Accurate Sh Model Simple Extension Sh Expansion Accurate Parametric Model Many Application Spherical Harmonic Iterative Residual Fitting Square Fitting Machine Resource Biomedical Imaging Parametric Surface Computer Vision Large-scale Modeling |
| Content Type | Text |
| Resource Type | Article |
