Now showing items 1-7 of 7

  • A Continuous Max-Flow Approach to Minimal Partitions with Label Cost Prior 

    Yuan, Jing; Bae, Egil; Boykov, Yuri; Tai, Xue-Cheng (The authors, 2011)
    This paper investigates a convex relaxation approach for minimum description length (MDL) based image partitioning or labeling, which proposes an energy functional regularized by the spatial smoothness prior joint with ...
    ChapterPeer reviewed
  • Efficient Global Minimization for the Multiphase Chan-Vese Model of Image Segmentation 

    Bae, Egil; Tai, Xue-Cheng (Springer Verlag, 2009)
    The Mumford-Shah model is an important variational image segmentation model. A popular multiphase level set approach, the Chan-Vese model, was developed as a numerical realization by representing the phases by several ...
    Peer reviewedJournal article
  • Efficient global minimization methods for variational problems in imaging and vision 

    Bae, Egil (The University of Bergen, 2011-08-19)
    Energy minimization has become one of the most important paradigms for formulating image processing and computer vision problems in a mathematical language. Energy minimization models have been developed in both the ...
    Doctoral thesis
  • A Fast Continuous Max-Flow Approach to Non-Convex Multilabeling Problems 

    Bae, Egil; Yuan, Jing; Tai, Xue-Cheng; Boykov, Yuri (The authors, 2011)
    This work addresses a class of multilabeling problems over a spatially continuous image domain, where the data fidelity term can be any bounded function, not necessarily convex. Two total variation based regularization terms ...
  • Global Minimization for Continuous Multiphase Partitioning Problems Using a Dual Approach 

    Bae, Egil; Yuan, Jing; Tai, Xue-Cheng (Springer Verlag, 2010)
    This paper is devoted to the optimization problem of continuous multi-partitioning, or multi-labeling, which is based on a convex relaxation of the continuous Potts model. In contrast to previous efforts, which are ...
    Peer reviewedJournal article
  • Reconstructing Open Surfaces via Graph-Cuts 

    Wan, Min; Wang, Yu; Bae, Egil; Tai, Xue-Cheng; Wang, Desheng (The authors, 2011)
    A novel graph-cuts-basedmethod is proposed for reconstructing open surfaces from unordered point sets. Through a boolean operation on the crust around the data set, the open surface problem is translated to a watertight ...
  • A Study on Continuous Max-Flow and Min-Cut Approaches 

    Yuan, Jing; Bae, Egil; Tai, Xue-Cheng (IEEE, 2010)
    We propose and investigate novel max-flow models in the spatially continuous setting, with or without supervised constraints, under a comparative study of graph based max-flow / min-cut. We show that the continuous max-flow ...
    ChapterPeer reviewed