Mixing synthetic and video images of an outdoor urban environment
Identifieur interne : 000974 ( PascalFrancis/Corpus ); précédent : 000973; suivant : 000975Mixing synthetic and video images of an outdoor urban environment
Auteurs : M. O. Berger ; B. Wrobel Dautcourt ; S. Petitjean ; G. SimonSource :
- Machine Vision and Applications [ 0932-8092 ] ; 1999.
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
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.
Notice en format standard (ISO 2709)
Pour connaître la documentation sur le format Inist Standard.
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Format Inist (serveur)
| NO : | PASCAL 01-0162649 EI |
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| ET : | Mixing synthetic and video images of an outdoor urban environment |
| AU : | BERGER (M. O.); WROBEL DAUTCOURT (B.); PETITJEAN (S.); SIMON (G.) |
| AF : | LORIA-CNRS & INRIA Lorraine/Vandoeuvre-les-Nancy/France (1 aut.) |
| DT : | Publication en série; Niveau analytique |
| SO : | Machine Vision and Applications; ISSN 0932-8092; Coden MVAPEO; Allemagne; Da. 1999; Vol. 11; No. 3; Pp. 145-159; Bibl. 28 Refs. |
| LA : | Anglais |
| EA : | 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. |
| CC : | 001D02B; 001B40B; 001D02B07B; 001D02B12; 001B00G68 |
| FD : | Théorie; Analyse image; Simulation ordinateur; Appareil photographique; Réalité virtuelle |
| ED : | Enriched image sequences; Theory; Image analysis; Computer simulation; Cameras; Virtual reality |
| LO : | INIST-21507 |
| ID : | 01-0162649 |
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Pascal:01-0162649Le document en format XML
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