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Cited by 306

The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.

Time‐of‐Flight Cameras in Computer Graphics

Open access
Kolb, A., Barth, E., Koch, R., Larsen, R.·2010·Computer Graphics Forum

Abstract

A growing number of applications depend on accurate and fast 3D scene analysis. Examples are model and lightfield acquisition, collision prevention, mixed reality and gesture recognition. The estimation of a range map by image analysis or laser scan techniques is still a time‐consuming and expensive part of such systems. A lower‐priced, fast and robust alternative for distance measurements are time‐of‐flight (ToF) cameras. Recently, significant advances have been made in producing low‐cost and compact ToF devices, which have the potential to revolutionize many fields of research, including computer graphics, computer vision and human machine interaction (HMI). These technologies are starting to have an impact on research and commercial applications. The upcoming generation of ToF sensors, however, will be even more powerful and will have the potential to become ‘ubiquitous real‐time geometry devices’ for gaming, web‐conferencing, and numerous other applications. This paper gives an account of recent developments in ToF technology and discusses the current state of the integration of this technology into various graphics‐related applications.

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Crossref · 10.1111/j.1467-8659.2009.01583.x

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Metadata

Authors
Kolb, A., Barth, E., Koch, R., & Larsen, R.
Venue
Computer Graphics Forum
Publisher
Wiley
Published
2010-02-08
Volume
29
Issue
1
Pages
141-159
ISSN
  • 0167-7055 (ISSN-L)
  • 1467-8659
OpenAlex
W1964370383
Cited by
306
References
46
FWCI
17.54
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Time‐of‐Flight Cameras in Computer Graphics. https://app.cochat.ai/papers/10.1111/j.1467-8659.2009.01583.x
The paper
Kolb, A., Barth, E., Koch, R., & Larsen, R. (2010). Time‐of‐Flight Cameras in Computer Graphics. Computer Graphics Forum. https://doi.org/10.1111/j.1467-8659.2009.01583.x

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

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