A method and system provide for temporal fusion of depth maps in an image space representation. A series of depth maps are obtained/acquired from one or more depth sensors at a first time. A first Gaussian mixture model (GMM) is initialized using one of the series of depth maps. A second depth map is obtained from the depth sensors at a second time. An estimate of the motion of the depth sensors, from the first time to the second time, is received. A predictive GMM at the second time is created based on a transform of the first GMM and the estimate of the motion. The predictive GMM is updated based on the second depth map.


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    Titel :

    GAUSSIAN MIXTURE MODELS FOR TEMPORAL DEPTH FUSION


    Beteiligte:
    MATTHIES LARRY H (Autor:in) / CIGLA CEVAHIR (Autor:in)

    Erscheinungsdatum :

    08.11.2018


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G06V / G06T Bilddatenverarbeitung oder Bilddatenerzeugung allgemein , IMAGE DATA PROCESSING OR GENERATION, IN GENERAL / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



    Gaussian mixture models for temporal depth fusion

    MATTHIES LARRY H / CIGLA CEVAHIR | Europäisches Patentamt | 2022

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