Image based rendering with depth cameras: How many are needed?

Christopher Gilliam, James Pearson, Mike Brookes, Pier Luigi Dragotti

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Image based rendering is a technique for producing arbitrary viewpoints of a scene using multiple images instead of exact object models. The recent emergence of low-price, fast, and reliable cameras for measuring depth makes possible the augmentation of traditional color images with depth images. This combination promises to improve the rendering quality of an arbitrary viewpoint and thus have a great impact on IBR. A key issue is to understand, for any particular scene of interest, how many depth images and how many color images are necessary in order to obtain good rendering results. In this paper, using a framework akin to the plenoptic function, we perform a spectral analysis of multi-view depth images in order to determine the relationship between the number of depth and color images required. Our analysis is then validated using both synthetic and real images.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings
Pages5437-5440
Number of pages4
DOIs
Publication statusPublished - 2012
Event2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Kyoto, Japan
Duration: 25 Mar 201230 Mar 2012

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Conference

Conference2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012
Country/TerritoryJapan
CityKyoto
Period25/03/1230/03/12

Keywords

  • Depth cameras
  • Image-Based Rendering
  • plenoptic function
  • sampling
  • spectral analysis

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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