Title :
A slit scanning depth of route panorama from stationary blur
Author :
Shi, Min ; Zheng, Jiang Yu
Author_Institution :
Dept. of Comput. Sci., Indiana Univ., USA
Abstract :
This work achieves an efficient acquisition of scenes and their depths along streets. During the movement of a vehicle, a slit in the camera frame is set properly to sample scenes continuously for a route panorama. This paper proposes a novel method of depth estimation by analyzing a new phenomenon named stationary blur in the route panorama. We find its relation with the depth and evaluate its degree at local and global levels. The depth estimation through filtering avoids feature matching and tracking that are error-prone in the scanning of real and complex street scenes. Our method provides reliable results but requires much less data than that of the structure from motion. This keeps the elegance of the route panorama in data representation, and is suitable for real time sensor development. Utilizing the completeness of the route panorama in the scene archiving, we can generate planar models of streets, which can be used in city visualization.
Keywords :
image representation; image segmentation; spatial variables measurement; data representation; depth estimation; real time sensor; route panorama; scene archiving; slit scanning depth; stationary blur; street planar model; Cameras; Cities and towns; Computer science; Data visualization; Image motion analysis; Layout; Matched filters; Pattern analysis; Vehicles; Videos;
Conference_Titel :
Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on
Print_ISBN :
0-7695-2372-2
DOI :
10.1109/CVPR.2005.46