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Recursive Structure and Motion from Image Sequences using Shape and Depth Spaces

In English

Författare

Summary, in English

In this paper a novel recursive method for estimating structure and motion from image sequences is presented. The novelty lies in the fact that the output of the algorithm is independent of the chosen coordinate systems in the images as well as the ordering of the points. It relies on subspace methods and is derived from both ordinary coordinate representations and camera matrices and from a so called depth and shape analysis. Furthermore, no initial phase is needed to start up the algorithm. It starts directly with the first two images and incorporates new images as soon as new corresponding points are obtained. The performance of the algorithm is shown on simulated data. Moreover, the two different approaches, one using camera matrices and the other using the concepts of affine shape and depth, are unified into a general theory of structure and motion from image sequences.

Avdelning/ar

Publiceringsår

1997

Språk

Engelska

Sidor

444-449

Publikation/Tidskrift/Serie

[Host publication title missing]

Dokumenttyp

Konferensbidrag

Förlag

IEEE - Institute of Electrical and Electronics Engineers Inc.

Ämne

  • Mathematics

Nyckelord

  • Computer simulation
  • Recursive functions
  • Algorithms
  • Image quality
  • Image analysis

Conference name

IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1997

Conference date

1997-06-17 - 1997-06-19

Conference place

San Juan, Puerto Rico

Status

Published

ISBN/ISSN/Övrigt

  • ISSN: 1063-6919