Automatic detection of calibration grids in time-of-flight images
- Submitting institution
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Queen Mary University of London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 414
- Type
- D - Journal article
- DOI
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10.1016/j.cviu.2014.01.007
- Title of journal
- Computer Vision and Image Understanding
- Article number
- -
- First page
- 108
- Volume
- 121
- Issue
- -
- ISSN
- 1049-9660
- Open access status
- Out of scope for open access requirements
- Month of publication
- April
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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3
- Research group(s)
-
-
- Citation count
- 17
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper describes a practical and robust method for the detection of calibration patterns, in low-resolution images. This is an important part of cross-calibrating systems of RGB and depth cameras (e.g. Time-of-Flight), where the latter typically have low spatial resolution. This work was among the outcomes of an industrial collaboration between the Samsung Advanced Institute of Technology, South Korea (O. Choi, SAIT), and INRIA Rhone Alpes, France. The method was part of a multi-camera RGB/depth system, which was delivered to the industrial partners. Samsung was granted a patent on this system in 2016 (KR101666932B1).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -