Abstract
Iterative least-squares estimation, requires accurate reflectance models to retrieve geometrical parameters of curved surface elements from an image projection. We investigate the use of separating the diffuse (body) reflection from the specular (surface) reflection being responsible for image highlights. Experiments show that the (smooth) diffuse component yields the best convergence properties, while the (sharp) specular component can contribute to the improvement of the noise insensitivity
Original language | English |
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Title of host publication | Fifth International Conference on Image Processing and its Applications, 1995 |
Place of Publication | Los Alamitos, CA |
Publisher | IEEE |
Pages | 340-344 |
Number of pages | 5 |
ISBN (Print) | 0-85296-642-3 |
DOIs | |
Publication status | Published - 1995 |
Event | 5th International Conference on Image Processing and its Applications 1995 - Edinburgh, United Kingdom Duration: 4 Jul 1995 → 6 Jul 1995 Conference number: 5 |
Conference
Conference | 5th International Conference on Image Processing and its Applications 1995 |
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Country/Territory | United Kingdom |
City | Edinburgh |
Period | 4/07/95 → 6/07/95 |
Keywords
- Convergence of numerical methods
- Gaussian noise
- Image processing
- Inverse problems
- Iterative methods
- Least squares methods
- Parameter estimation
- Optical reflection