Webbläsaren som du använder stöds inte av denna webbplats. Alla versioner av Internet Explorer stöds inte längre, av oss eller Microsoft (läs mer här: * https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Var god och använd en modern webbläsare för att ta del av denna webbplats, som t.ex. nyaste versioner av Edge, Chrome, Firefox eller Safari osv.

Generalized Convexity in Multiple View Geometry

In English

Författare

Summary, in English

Recent work on geometric vision problems has exploited convexity properties in order to obtain globally optimal solutions. In this paper we give an overview of these developments and show the tight connections between different types of convexity and optimality conditions for a large class of multiview geometry problems. We also show how the convexity properties are closely linked to different types of optimization algorithms for computing the solutions. Moreover, it is also demonstrated how convexity can be used for detection and removal of outliers. The theoretical findings are accompanied with illustrative examples and experimental results on real data.

Publiceringsår

2010

Språk

Engelska

Sidor

35-51

Publikation/Tidskrift/Serie

Journal of Mathematical Imaging and Vision

Volym

38

Issue

1

Dokumenttyp

Artikel i tidskrift

Förlag

Springer

Ämne

  • Mathematics

Nyckelord

  • Generalized convexity
  • Multiple view geometry
  • Computer vision

Status

Published

ISBN/ISSN/Övrigt

  • ISSN: 0924-9907