Natural Feature Image Recognition (NFIR) is camera based robotic vision system for recognition, acquisition, tracking and pose estimation of a Target Vehicle. This paper presents our on-going work on development of the capability of the NFIR software in recognition and acquisition for Autonomous Rendezvous and Docking. The heart of the acquisition algorithm is a classification-based scheme. Feature points with high intensity gradients are selected as key features and point matching is formulated as a multi-class classification problem. The proposed scheme shifts much of the computation burden to a training phase to ensure an efficient and robust run-time performance on target recognition as demonstrated by experimental results.


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    Titel :

    Target acquisition using Natural Feature Image Recognition


    Beteiligte:


    Erscheinungsdatum :

    2009-03-01


    Format / Umfang :

    1903802 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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