- Title
- Helmholtz Stereopsis Synthetic Dataset
- Creators
- Nadejda RoubtsovaJean-Yves Guillemaut (Principal Investigator)
- Publisher
- University of Surrey
- Date published
- 17/11/2020
- Grant note
- Funder: EPSRC | Grant Title: Shape and Reflectance Acquisition of Complex Dynamic Scenes | Grant ID: EP/M021793/1
- Identifiers
- 99512857402346
- Copyright
- The authors confirm that the dataset generated as part of this research is freely available under the terms and conditions detailed in the license agreement enclosed in the research data repository. By accessing and/or using the data you are agreeing to following terms and conditions: 1. All original imagery and associated data provided may be used for non-commercial research purposes only. 2. The source of the datasets must be acknowledged in all publications in which it is used. This should be done by referencing the dataset's DOI https://doi.org/10.15126/surreydata.00841369, the dataset webpage http://www.cvssp.org/data/bayesianhs/ and the corresponding publication: N. Roubtsova and J.-Y. Guillemaut, "Bayesian Helmholtz Stereopsis with Integrability Prior", IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017. 3. The data may not be redistributed. 3D meshes of Pear and Bunny were used with permission of the third-party creators: Pear was created by Rob Kalnins as part of WYSIWYG NPR project http://gfx.cs.princeton.edu/pubs/Kalnins_2002_WND/index.php; Bunny is the Stanford Bunny from the Stanford 3D scanning repository, Stanford University Computer Graphics Laboratory, https://graphics.stanford.edu/data/3Dscanrep/. Both models are said to be allowed for use in non-commercial research. It is however your responsibility to obtain details of licence agreement information concerning these models from the creators' websites or by contacting them directly should you wish to use the models.";"Copyright: Attribution-Non-Commercial-No-Redistribution
- Academic Unit
- FEPS Central Faculty Admin
- Language
- English
- Resource Type
- Dataset
Dataset
Helmholtz Stereopsis Synthetic Dataset
University of Surrey
17/11/2020
DOI:
https://doi.org/10.15126/surreydata.00841369
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