Abstract Reflectance model is an important concept in computer vision. Most classical reflection models based on orthogonal projection with Lambert reflection model assumptions don’t correspond to the real imaging process. This paper proposed a new polynomial hybrid reflection model based on perspective projection. The imaging process of camera is simulated by the proposed reflection model with perspective projection. Then non-negative least squares algorithm (NNLS) is used to estimate parameters of the proposed reflectance model by using pixels values in image of some known 3-D shape object. At last, synthesis images produced by the proposed model and existing ones are compared with the real captured images by camera. Experimental results showed that the proposed reflectance model is more accurate than the Lambert model and Phong models under perspective projection.
A New Polynomial Hybrid Reflection Model Based on Perspective Projection
2014-01-01
8 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
A New Polynomial Hybrid Reflection Model Based on Perspective Projection
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