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Cited by 369

The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.

Image mosaicing for tele-reality applications

Szeliski, R.·2002·Proceedings of 1994 IEEE Workshop on Applications of Computer Vision
DOI 10.1109/acv.1994.341287
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Abstract

This paper presents some techniques for automatically deriving realistic 2-D scenes and 3-D geometric models from video sequences. These techniques can be used to build environments and 3-D models for virtual reality application based on recreating a true scene, i.e., tele-reality applications. The fundamental technique used in this paper is image mosaicing, i.e., the automatic alignment of multiple images into larger aggregates which are then used to represent portions of a 3-D scene. The paper first examines the easiest problems, those of flat scene and panoramic scene mosaicing. It then progresses to more complicated scenes with depth, and concludes with full 3-D models. The paper also discusses a number of novel applications based on tele-reality technology.>

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Metadata

Authors
Szeliski, R.
Venue
Proceedings of 1994 IEEE Workshop on Applications of Computer Vision
Publisher
IEEE Comput. Soc. Press
Published
2002-12-17
Pages
44-53
DOI
10.1109/acv.1994.341287
OpenAlex
W2166579962
Cited by
369
References
45
FWCI
26.95
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Image mosaicing for tele-reality applications. https://app.cochat.ai/papers/10.1109/acv.1994.341287
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Szeliski, R. (2002). Image mosaicing for tele-reality applications. Proceedings of 1994 IEEE Workshop on Applications of Computer Vision. https://doi.org/10.1109/acv.1994.341287

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.