Pervasive views: area exploration and guidance using extended image media
Proceedings of the 13th annual ACM international conference on Multimedia
Scanning Scene Tunnel for City Traversing
IEEE Transactions on Visualization and Computer Graphics
Minimal Aspect Distortion (MAD) Mosaicing of Long Scenes
International Journal of Computer Vision
Scanning Depth of Route Panorama Based on Stationary Blur
International Journal of Computer Vision
ACM SIGGRAPH 2008 papers
View planning for cityscape archiving and visualization
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Depth from stationary blur with adaptive filtering
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Employing a fish-eye for scene tunnel scanning
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
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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 will be used in city visualization.