DocumentCode :
3325539
Title :
Application of image enhancement techniques for shape reconstruction using shape from shading
Author :
Ullah, Imdad ; Amin, Saman Hameed
Author_Institution :
Dept. of Comput. Sci., Nat. Univ. of Comput. & Emerging Sci., Peshawar, Pakistan
fYear :
2011
fDate :
11-13 July 2011
Firstpage :
315
Lastpage :
318
Abstract :
Algorithms for reconstructing shape and geometry from 2D images are very sensitive to the light, camera, surface and texture parameters. It is very difficult to accurately recover these parameters under real life conditions. Variations in these parameters result in significant changes in the quality of the reconstructed 3D shapes. This paper proposes a novel method for dealing with the variations in light, camera and surface properties. This paper shows that image enhancement techniques can be used to improve performance of the shape reconstruction algorithms like shape-from-shading by altering these parameters in a controlled manner. As a consequence of image enhancement the reconstructed results are consistently improved regardless of variations in imaging conditions. The reasons for improved results of shape reconstruction algorithms are noise removal, removal of very high frequency content, and altered surface properties.
Keywords :
computational geometry; image enhancement; image reconstruction; image texture; shape recognition; 3D shape reconstruction; geometry reconstruction; image enhancement techniques; noise removal; shape-from-shading; Algorithm design and analysis; Cameras; Image reconstruction; Psychology; Reflectivity; Shape; Three dimensional displays; image enhancement; image formation model; shape from shading; shape reconstruction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Networks and Information Technology (ICCNIT), 2011 International Conference on
Conference_Location :
Abbottabad
ISSN :
2223-6317
Print_ISBN :
978-1-61284-940-9
Type :
conf
DOI :
10.1109/ICCNIT.2011.6020887
Filename :
6020887
Link To Document :
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