3-D scene reconstruction from image sequences

H.V. Nguyen, M. Hanajik

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureHoofdstukAcademicpeer review

3 Citaten (Scopus)
184 Downloads (Pure)

Samenvatting

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.
Originele taal-2Engels
TitelCAIP : computer analysis of images and patterns : international conference : proceedings, 6th, Prague, Czech Republic, September 6-8, 1995
RedacteurenV. Hlavac, R. Sara
Plaats van productieBerlin
UitgeverijSpringer
Pagina's182-189
Aantal pagina's8
ISBN van geprinte versie3-540-60268-2
StatusGepubliceerd - 1995

Publicatie series

NaamLecture Notes in Computer Science
Volume970
ISSN van geprinte versie0302-9743

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  • Citeer dit

    Nguyen, H. V., & Hanajik, M. (1995). 3-D scene reconstruction from image sequences. In V. Hlavac, & R. Sara (editors), CAIP : computer analysis of images and patterns : international conference : proceedings, 6th, Prague, Czech Republic, September 6-8, 1995 (blz. 182-189). (Lecture Notes in Computer Science; Vol. 970). Berlin: Springer.