InforLorV4, Main, Curation, bibRecord, 00A969

Mixing synthetic and video images of an outdoor urban environment

Identifieur interne : 00A969 ( Main/Curation ); précédent : 00A968; suivant : 00A970

Mixing synthetic and video images of an outdoor urban environment

Auteurs : M.-O. Berger ; B. Wrobel-Dautcourt ; S. Petitjean ; G. Simon

Source :

Machine Vision and Applications [ 0932-8092 ] ; 1999-03-01.

RBID : ISTEX:AA469EBBD5D7F14C77FBBF80354CB5B0E33F14A0

Descripteurs français

Pascal (Inist)
- Analyse image, Appareil photographique, Réalité virtuelle, Simulation ordinateur, Théorie.
Wicri :
- topic : Réalité virtuelle.
mix :
- augmented reality, point de vue, réalité augmentée, suivi, tracking, viewpoint computation.

English descriptors

KwdEn :
- Cameras, Computer simulation, Enriched image sequences, Image analysis, Key words:Augmented reality – Enriched image sequence – Viewpoint determination – Tracking, Theory, Virtual reality.

Abstract

Abstract.: Mixing video and computer-generated images is a new and promising area of research for enhancing reality. It can be used in all the situations when a complete simulation would not be easy to implement. Past work on the subject has relied for a large part on human intervention at key moments of the composition. In this paper, we show that if enough geometric information about the environment is available, then efficient tools developed in the computer vision literature can be used to build a highly automated augmented reality loop. We focus on outdoor urban environments and present an application for the visual assessment of a new lighting project of the bridges of Paris. We present a fully augmented 300-image sequence of a specific bridge, the Pont Neuf. Emphasis is put on the robust calculation of the camera position. We also detail the techniques used for matching 2D and 3D primitives and for tracking features over the sequence. Our system overcomes two major difficulties. First, it is capable of handling poor-quality images, resulting from the fact that images were shot at night since the goal was to simulate a new lighting system. Second, it can deal with important changes in viewpoint position and in appearance along the sequence. Throughout the paper, many results are shown to illustrate the different steps and difficulties encountered.

Url:

DOI: 10.1007/s001380050098

Links toward previous steps (curation, corpus...)

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Links to Exploration step

ISTEX:AA469EBBD5D7F14C77FBBF80354CB5B0E33F14A0

Curation

No country items

M.-O. Berger

<affiliation><wicri:noCountry code="subField">FR</wicri:noCountry>
</affiliation>

B. Wrobel-Dautcourt

<affiliation><wicri:noCountry code="subField">FR</wicri:noCountry>
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S. Petitjean

<affiliation><wicri:noCountry code="subField">FR</wicri:noCountry>
</affiliation>

G. Simon

<affiliation><wicri:noCountry code="subField">FR</wicri:noCountry>
</affiliation>

Le document en format XML

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Mixing synthetic and video images of an outdoor urban environment

Mixing synthetic and video images of an outdoor urban environment

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