A convex multi-view stereo formulation with robustness to occlusions and time-varying clutter

Qingxu Dou, Paolo Favaro

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a novel framework for multi-view stereo that poses the problem of recovering a 3D surface in the scene as a regularized minimal partition problem of the visibility function in the presence of clutter. We introduce a simple and robust method to integrate estimates from several views that tolerates both static and time-varying clutter. Our formulation does not rely on the visual hull, 2D silhouettes, or make use of initial surface estimates. Furthermore, we use a globally optimal framework, so that the solution does not depend on initialization and computationally efficient numerical methods can be used to find the solution. We also strive for simplicity so that more general models of image formation can be used without compromising the estimation process. Experimental results on synthetic and publicly available real data show that our method performs on a par with state-of-the-art methods that have been used on clutter-free data. © 2010 ACM.

Original languageEnglish
Title of host publicationProceedings - 7th Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2010
Pages243-250
Number of pages8
DOIs
Publication statusPublished - 2010
Event7th Indian Conference on Computer Vision, Graphics and Image Processing - Chennai, India
Duration: 12 Dec 201015 Dec 2010

Conference

Conference7th Indian Conference on Computer Vision, Graphics and Image Processing
Abbreviated titleICVGIP 2010
CountryIndia
CityChennai
Period12/12/1015/12/10

Fingerprint Dive into the research topics of 'A convex multi-view stereo formulation with robustness to occlusions and time-varying clutter'. Together they form a unique fingerprint.

Cite this