Abstract
Iterative least-squares estimation requires accurate reflectance models to retrieve geometrical parameters of 3-D objects from an image projection. We investigate the use of separating the diffuse (body) reflection from the specular (surface) reflection, where the latter is responsible for image highlights. The performance of several models has been analysed by comparing local higher-order derivatives of the least-squares error function. Experiments show that the (smooth) diffuse component yields the best convergence properties, while the (sharp) specular component cast be utilized to improve noise insensitivity
Original language | English |
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Title of host publication | Proceedings of the International Symposium on Computer Vision - ISCV |
Place of Publication | Piscataway, NJ |
Publisher | IEEE |
Pages | 413-418 |
Number of pages | 6 |
ISBN (Print) | 0-8186-7190-4 |
DOIs | |
Publication status | Published - 1995 |
Event | IEEE International Symposium on Computer Vision 1995 - Coral Gables, United States Duration: 21 Nov 1995 → 23 Nov 1995 |
Conference
Conference | IEEE International Symposium on Computer Vision 1995 |
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Country | United States |
City | Coral Gables |
Period | 21/11/95 → 23/11/95 |