Colour Helmholtz Stereopsis for Reconstruction of Dynamic Scenes with Arbitrary Unknown Reflectance
- Submitting institution
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The University of Surrey
- Unit of assessment
- 12 - Engineering
- Output identifier
- 9006741_3
- Type
- D - Journal article
- DOI
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10.1007/s11263-016-0951-0
- Title of journal
- International Journal of Computer Vision
- Article number
- -
- First page
- 18-48
- Volume
- 124
- Issue
- 1
- ISSN
- 0920-5691
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2016
- URL
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- Supplementary information
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- Request cross-referral to
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- 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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- Research group(s)
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- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This research enables for the first time the reconstruction of dynamic scenes with arbitrary unknown surface reflectance properties (e.g. glossy materials), thus addressing an important gap in the field of scene modelling from video. The approach has been evaluated with partners from the creative industries (Foundry, DoubleNegative) as part of the EPSRC First Grant EP/M021793/1 and has potential for impact in other areas dealing with scenes with complex reflectance (manufacturing, health, robotics, etc). This research was awarded the Best Poster Prize at ACM Conference on Visual Media Production CVMP2016 and lead to the public release of a benchmark dataset.
- Author contribution statement
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- Non-English
- No
- English abstract
- -