1. ScholarBank@NUS
  2. 1. Staff
  3. Staff Publications
Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/146336
DC FieldValue
dc.titleSurface plenoptic function: A tool for the sampling analysis of image-based rendering
dc.contributor.authorZhang C.
dc.contributor.authorChen T.
dc.date.accessioned2018-08-21T05:10:35Z
dc.date.available2018-08-21T05:10:35Z
dc.date.issued2003
dc.identifier.citationZhang C., Chen T. (2003). Surface plenoptic function: A tool for the sampling analysis of image-based rendering. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings 4 : 768-771. ScholarBank@NUS Repository.
dc.identifier.issn15206149
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/146336
dc.description.abstractIn this paper, we introduce surface plenoptic function (SPF) as a tool for the sampling analysis of image-based rendering (IBR). SPF is a plenoptic function defined on the object surface, It can be mapped onto the normal IBR representation via a coordinate transform. By assuming some properties of the SPF, we can provide insightful analysis on the sampling of the IBR representation, for both uniform and non-uniform methods.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentOFFICE OF THE PROVOST
dc.contributor.departmentDEPARTMENT OF COMPUTER SCIENCE
dc.description.sourcetitleICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
dc.description.volume4
dc.description.page768-771
dc.description.codenIPROD
dc.published.statepublished
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.