Volumetric representation for sparse multi-views

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

2 Citations (Scopus)
326 Downloads (Pure)


In this paper, we propose a novel volumetric representation for a sparse set of calibrated multi-view images of a non-Lambertian scene. The depth map of each reference view is registered into a volume and a simple algorithm to shape the volume is introduced. Particular colours are defined for each voxel to render a smooth and realistic image. Synthesized results demonstrate the good performance with the proposed scheme, both for parallel-camera and non-parallel-camera geometries.
Translated title of the contributionVolumetric representation for sparse multi-views
Original languageEnglish
Title of host publication2006 IEEE International Conference on Image Processing, Atlanta, GA
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1221 - 1224
Number of pages4
ISBN (Print)1424404819
Publication statusPublished - Oct 2006
EventInternational Conference on Image Processing - Atlanta, United States
Duration: 1 Oct 2006 → …


ConferenceInternational Conference on Image Processing
CountryUnited States
Period1/10/06 → …

Bibliographical note

Rose publication type: Conference contribution

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  • three-dimensional vision
  • image synthesis

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