Feature extraction learning for stereovision based robot navigation system

Vijay S. Rajpurohit, M. M. Manohara Pai

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Stereovision based systems represent the real world information in the form of a gray scale image known as Depth map with intensity of each pixel representing the distance of that pixel from the cameras. For static indoor environment where the surface is smooth, the ground information remains constant and can be removed to locate and identify the boundaries of the obstacles of interest in a better way. This paper proposes a novel approach for ground surface removal using a trained Multi layer Neural Network and a novel object clustering algorithm to reconstruct the objects of interest from the Depth map generated by the stereovision algorithm. Histogram analysis and the object reconstruction algorithm are used to test the results.

    Original languageEnglish
    Title of host publicationProceedings - 2006 14th International Conference on Advanced Computing and Communications, ADCOM 2006
    Pages362-365
    Number of pages4
    DOIs
    Publication statusPublished - 01-12-2006
    Event14th International Conference on Advanced Computing and Communications, ADCOM 2006 - Surathkal, India
    Duration: 20-12-200623-12-2006

    Publication series

    NameProceedings - 2006 14th International Conference on Advanced Computing and Communications, ADCOM 2006

    Conference

    Conference14th International Conference on Advanced Computing and Communications, ADCOM 2006
    Country/TerritoryIndia
    CitySurathkal
    Period20-12-0623-12-06

    All Science Journal Classification (ASJC) codes

    • Computer Networks and Communications
    • Communication

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