From photohulls to photoflux optimization

Yuri Boykov, Victor Lempitsky

Research output: Contribution to conferencePaperpeer-review

28 Citations (Scopus)


Our work was inspired by recent advances in image segmentation where flux-based functionals significantly improved alignment of object boundaries. We propose a novel photoflux functional for multi-view 3D reconstruction that is closely related to properties of photohulls. Our photohull prior can be combined with regularization. Thus, this work unifies two major groups of multiview stereo techniques: "space carving" and "deformable models". Our approach combines benefits of both groups and allows to recover fine shape details without oversmoothing while robustly handling noise. Photoflux provides data-driven ballooning force that helps to segment thin structures or holes. Photoflux maximizing shapes can be also seen as regularized Lapla-cian zero-crossings [3]. We discuss several versions of photoflux functional based on global, local, or non-deterministic visibility models. Some forms of photoflux can be easily added into standard regularization techniques. For other forms we propose new optimization methods.

Original languageEnglish
Number of pages10
Publication statusPublished - 2006
Externally publishedYes
Event2006 17th British Machine Vision Conference, BMVC 2006 - Edinburgh, United Kingdom
Duration: 4 Sep 20067 Sep 2006


Conference2006 17th British Machine Vision Conference, BMVC 2006
Country/TerritoryUnited Kingdom


Dive into the research topics of 'From photohulls to photoflux optimization'. Together they form a unique fingerprint.

Cite this