Title :
Algebraic Models for Accurate LFS Reconstruction
Author :
Lara, Luis D. ; Lemuz, Rafael
Author_Institution :
Fac. de Cienc. de la Comput., Benemerita Univ. Autonoma de Puebla, Puebla, Mexico
fDate :
Nov. 26 2011-Dec. 4 2011
Abstract :
In this paper, we analyze four algebraic models for light fall off representation. The algebraic models are estimated using fitting techniques of non-linear models. The alternative light attenuation models are then evaluated in a 3D reconstruction method. The comparative analysis of the 3D reconstruction error is presented and shows that the algebraic models are more accurate. The advantages and disadvantages of the alternative models are discussed and compared with the traditional representations of light fall off known as the inverse square law.
Keywords :
algebra; computer graphics; computer vision; image reconstruction; 3D reconstruction method; LFS reconstruction; algebraic model; fitting technique; inverse square law; light attenuation model; light fall off representation; nonlinear model; Accuracy; Analytical models; Computational modeling; Light sources; Mathematical model; Solid modeling; Three dimensional displays; algebraic models; light fall off; stereo reconstruction;
Conference_Titel :
Artificial Intelligence (MICAI), 2011 10th Mexican International Conference on
Conference_Location :
Puebla
Print_ISBN :
978-1-4577-2173-1
DOI :
10.1109/MICAI.2011.23