3-D scene reconstruction from image sequences

H.V. Nguyen, M. Hanajik

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

3 Citations (Scopus)
277 Downloads (Pure)

Abstract

In this paper we describe a technique for reconstruction of a static 3-D scene from a monocular image sequence. The problem is formulated as a stochastic filtering problem where state variables describe the scene and the camera parameters, and images are observations of this state. This rather general problem formulation allows us to drop requirements otherwise requested, like knowledge of the camera motion path, or the necessity to have a binocular or a trinocular image sequence. The scene is represented as a set of 3-D line segments, edges contours etc. The computation time of each state update is linear with the number of scene line segments. In the paper the achieved results are given and conclusions are derived.
Original languageEnglish
Title of host publicationCAIP : computer analysis of images and patterns : international conference : proceedings, 6th, Prague, Czech Republic, September 6-8, 1995
EditorsV. Hlavac, R. Sara
Place of PublicationBerlin
PublisherSpringer
Pages182-189
Number of pages8
ISBN (Print)3-540-60268-2
Publication statusPublished - 1995

Publication series

NameLecture Notes in Computer Science
Volume970
ISSN (Print)0302-9743

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