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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A slit scanning depth of route panorama from stationary blur


    Contributors:
    Min Shi, (author) / Jiang Yu Zheng, (author)


    Publication date :

    2005-01-01


    Size :

    761159 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Scanning Depth of Route Panorama Based on Stationary Blur

    Zheng, J. Y. / Shi, M. | British Library Online Contents | 2008


    Depth from Stationary Blur with Adaptive Filtering

    Zheng, Jiang Yu / Shi, Min | Springer Verlag | 2007


    Streaming Route Panorama for Seamless City Guidance

    Zheng, J.-Y. / Wang, X. | British Library Online Contents | 2008


    Monocular Depth Perception by Evaluation of the Blur in Defocused Images

    Schneider, G. / Heit, B. / Honig, J. et al. | British Library Conference Proceedings | 1994


    PANORAMA - Panorama

    Online Contents | 1998