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 accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Advances in Neural Information Processing Systems 19
(2007) · The MIT Press eBooks · doi:10.52202/085713 · Cited by 15,539
Gortler, S. J., Grzeszczuk, R., Szeliski, R., & Cohen, M. F. (1996) · Proceedings of the 23rd annual conference on Computer graphics and interactive techniques · doi:10.1145/237170.237200 · Cited by 2,458
Spatial-Depth Super Resolution for Range Images
Yang, Q., Yang, R., Davis, J., & Nister, D. (2007) · 2007 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2007.383211 · Cited by 745
Fast hands-free writing by gaze direction
Ward, D. J., & MacKay, D. J. C. (2002) · Nature · doi:10.1038/418838a · Cited by 329
3D time-of-flight distance measurement with custom solid-state image sensors in CMOS/CCD-technology
Lange, R. T. (2006) · Recherche und Kataloge (Universitätsbibliothek Siegen) · Cited by 299
Grimes, C. A., Dickey, E. C., Pishko, M. V., & Marcus, R. A. (2006) · Cited by 256
Fusion of time-of-flight depth and stereo for high accuracy depth maps
Zhu, J., Wang, L., Yang, R., & Davis, J. (2008) · 2008 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2008.4587761 · Cited by 242
A survey on image-based rendering—representation, sampling and compression
Zhang, C., & Chen, T. (2004) · Signal Processing: Image Communication · doi:10.1016/j.image.2003.07.001 · Cited by 222
Calibration for increased accuracy of the range imaging camera SwissRanger
Kahlmann, T., Fabio Remondino, A., & Ingensand, H. (2006) · Repository for Publications and Research Data (ETH Zurich) · doi:10.3929/ethz-b-000369707 · Cited by 174
Extrinsic and depth calibration of ToF-cameras
Fuchs, S., & Hirzinger, G. (2008) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2008.4587828 · Cited by 153
Cited by
Working Together: A Review on Safe Human-Robot Collaboration in Industrial Environments
Robla-Gomez, S., Becerra, V. M., Llata, J. R., Gonzalez-Sarabia, E., Torre-Ferrero, C., & Perez-Oria, J. (2017) · IEEE Access · doi:10.1109/access.2017.2773127 · Cited by 589
Kinect range sensing: Structured-light versus Time-of-Flight Kinect
Sarbolandi, H., Lefloch, D., & Kolb, A. (2015) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2015.05.006 · Cited by 389
Self-citationReal-Time 3D Reconstruction in Dynamic Scenes Using Point-Based Fusion
Keller, M., Lefloch, D., Lambers, M., Izadi, S., Weyrich, T., & Kolb, A. (2013) · 2013 International Conference on 3D Vision · doi:10.1109/3dv.2013.9 · Cited by 384
Self-citationMetasurface Micro/Nano-Optical Sensors: Principles and Applications
Qin, J., Jiang, S., Wang, Z., Cheng, X., Li, B., Shi, Y., Tsai, D. P., Liu, A. Q., Huang, W., & Zhu, W. (2022) · ACS Nano · doi:10.1021/acsnano.2c03310 · Cited by 359
Color-Guided Depth Recovery From RGB-D Data Using an Adaptive Autoregressive Model
Yang, J., Ye, X., Li, K., Hou, C., & Wang, Y. (2014) · IEEE Transactions on Image Processing · doi:10.1109/tip.2014.2329776 · Cited by 310
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- 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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.