Volumetric visual hulls have become very popular in many computer vision applications including human body pose estimation and virtualized reality. In these applications, the visual hull is used to approximate the 3D geometry of an object. Existing volumetric visual hull construction techniques, however, produce a 3-color volume data that merely serves as a bounding volume. In other words it lacks an accurate surface representation. Polygonization can produce satisfactory results only at high resolutions. In this study we extend the binary visual hull to an implicit surface in order to capture the geometry of the visual hull itself. In particular, we introduce an octree-based visual hull specific adaptive sampling algorithm to obtain a volumetric representation that provides accuracy proportional to the level of detail. Moreover, we propose a method to process the resulting octree to extract a crack-free polygonal visual hull surface. Experimental results illustrate the performance of the algorithm.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Visual Hull Construction Using Adaptive Sampling


    Contributors:


    Publication date :

    2005-01-01


    Size :

    5203470 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    HULL CONSTRUCTION

    TSUCHIYA MASANORI | European Patent Office | 2015

    Free access

    Boat hull construction

    SHERER MYRON | European Patent Office | 2016

    Free access

    Maierform of Hull construction

    Hay, M.F. | Engineering Index Backfile | 1931


    Practical Metal Hull Construction

    Emerald Group Publishing | 1932


    Practical Metal Hull Construction

    Emerald Group Publishing | 1932