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    Using depth maps to find interesting regions

    Access Status
    Fulltext not available
    Authors
    Borck, Michael
    Palmer, Richard
    West, Geoff
    Tan, Tele
    Date
    2014
    Type
    Conference Paper
    
    Metadata
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    Citation
    Borck, M. and Palmer, R. and West, G. and Tan, T. 2014. Using depth maps to find interesting regions, in IEEE Region 10 Symposium, Apr 14-16 2014. Kuala Lumpur; Malaysia: Institute of Electrical and Electronics Engineers.
    Source Title
    Proceedings of 2014 IEEE Region 10 Symposium, IEEE TENSYMP 2014.
    Source Conference
    2014 IEEE Region 10 Symposium, IEEE TENSYMP 2014. Kuala Lumpur; Malaysia; 2014
    DOI
    10.1109/TENCONSpring.2014.6862998
    School
    Department of Spatial Sciences
    URI
    http://hdl.handle.net/20.500.11937/15163
    Collection
    • Curtin Research Publications
    Abstract

    Automated recognition and analysis of objects in images from urban transport corridors are important for many applications including asset management, measurement, location, analysis and change detection. Vehicle-based mobile mapping systems capture co-registered imagery and 3D point cloud information over hundreds of kilometers of transport corridor. Methods for extracting information from these large datasets are labour intensive and automatic methods are desired. This paper uses a depth map to segment regions of interest in colour images. Quantitative tests were carried out on two datasets. Experiments show that the resulting regions are relatively coarse, but overall the method is effective, and has the benefit of easy implementation.

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