The automatic segmentation of scattered 3D points into few, meaningful surfaces is a key step in range image processing, both in matching a scene with stored model objects and in reconstructing model objects from sensor data. Few segmentation algorithms exist for range images that are sufficiently robust, predictable, general, and efficiently parallelizable. The main contribution of the paper is a new split-and-merge approach with dynamic top-down triangulation that supports hierarchical resolution and backtracking. Feedback from model driven matching to data driven segmentation is provided in order to meet the recognition goal in a joint effort. Border control, quality criteria for surfaces and for partition points as well as unsupervised clustering help to achieve robustness and independence of image content. Results from a simple, high-noise range image are presented.<>


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Reconstruction and recognition of boundary representations from range images in SOMBRERO


    Contributors:


    Publication date :

    1994-01-01


    Size :

    585158 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Reconstruction and Recognition of Boundary Representations from Range Images in SOMBRERO

    Kohlhepp, P. / IEEE; Signal Processing Society | British Library Conference Proceedings | 1994


    The Mexican Navy's Aerial Sombrero

    Lamarque, M. | Online Contents | 1996


    Cubierta de doble sombrero para parachoques

    NILSSON JOHAN | European Patent Office | 2018

    Free access

    Rigidizador en forma de sombrero compuesto

    FIRKO JASON LAWRENCE / MAZZA CHRISTOPHER | European Patent Office | 2018

    Free access

    Reconstruction and Boundary Detection of Range and Intensity Images Using Multiscale MRF Representations

    Guensel, B. / Jain, A. K. / Panayirci, E. | British Library Online Contents | 1996