Title :
A new approach to 3D shape recovery of local planar surface patches from shift-variant blurred images
Author :
Tu, Xue ; Subbarao, Murali ; Kang, Youn-Sik
Author_Institution :
Dept. of Electr. & Comput. Eng., State Univ. of New York, Stony Brook, NY, USA
Abstract :
A new approach is presented for 3D shape recovery of local planar surface patches from two shift/space-variant defocused images. It is based on a recently proposed technique for inverting the shift-variant blurring in a camera system. It is completely localized, applicable to general point spread functions, and facilitates fine-grain parallel implementation and computationally efficient recovery of 3D shape. The shape of a visible object at each pixel is specified by the distance and slopes of a local planar surface patch that approximates the object surface at that pixel. The theory underlying the new approach and experimental results are presented. Results of both simulation and real experiments indicate that the new approach is effective and useful in practical applications.
Keywords :
approximation theory; image restoration; surface fitting; 3D shape recovery; camera system; fine-grained parallel implementation; local planar surface patch; object surface approximation; point spread function; shift-variant blurred image; space-variant defocused image; Cameras; Computational modeling; Concurrent computing; Convolution; Focusing; Integral equations; Layout; Lenses; Shape; Transforms;
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
DOI :
10.1109/ICPR.2008.4761014