We address the problem of reconstructing a surface from sparse and noisy depth data while concurrently identifying and preserving the significant discontinuities in depth. It is well known that, starting from either the probabilistic Markov random field model or the mechanical membrane or thin plate model for the surface, the solution of the reconstruction problem eventually reduces to the global minimization of a certain "energy" function. Requiring the preservation of depth discontinuities makes the energy function nonconvex and replete with multiple local minima. We present a new method for obtaining discontinuity-preserving reconstruction based on the numerical solution of an appropriate vector stochastic differential equation.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Discontinuity preserving surface reconstruction through global optimization


    Contributors:
    Vaidya, N.M. (author) / Boyer, K.L. (author)


    Publication date :

    1995-01-01


    Size :

    591543 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Discontinuity Preserving Surface Reconstruction through Global Optimization

    Vaidya, N. M. / Boyer, K. L. / IEEE; Computer Society; Technical Committee for Pattern Analysis and Machine Intelligence | British Library Conference Proceedings | 1995


    Discontinuity preserving surface reconstruction

    Sinha, S.S. / Schunck, B.G. | IEEE | 1989


    Discontinuity-Preserving Surface Reconstruction Using Stochastic Differential Equations

    Vaidya, N. M. / Boyer, K. L. | British Library Online Contents | 1998