Title :
Conformal transplantation of lightness to varying resolution sensors
Author :
Funt, Brian V. ; Brockington, Michael ; Tong, Frank
Author_Institution :
Sch. of Comput. Sci., Simon Fraser Univ., Vancouver, BC, Canada
Abstract :
Many standard computer vision algorithms for shape from shading, optical flow, color constancy or surface reconstruction depend upon the solution of Poisson equations. Using retinex lightness computation as an example, it is shown how these algorithms can be dramatically sped up using a varying resolution sensor, so long as the sensor architecture is based on a conformal mapping. The varying resolution lightness algorithm is developed by the technique of using a conformal transplant. In the final analysis, very little of the algorithm needs to be changed, but a speed up in running time of roughly 50 times is obtained, even though the total amount of data is reduced by only a factor of 28. The speed increases at the expense of peripheral resolution
Keywords :
computer vision; stochastic processes; Poisson equations; color constancy; computer vision; conformal mapping; conformal transplantation lightness transplantation; optical flow; peripheral resolution; retinex lightness computation; shape from shading; surface reconstruction; varying resolution sensors; Algorithm design and analysis; Computer architecture; Computer vision; Conformal mapping; Humans; Image motion analysis; Image resolution; Image sensors; Optical sensors; Pixel; Poisson equations; Retina; Shape; Surface reconstruction;
Conference_Titel :
Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on
Conference_Location :
New York, NY
Print_ISBN :
0-8186-3880-X
DOI :
10.1109/CVPR.1993.341074