Browse DORAS
Browse Theses
Latest Additions
Creative Commons License
Except where otherwise noted, content on this site is licensed for use under a:

Scalable virtual viewpoint image synthesis for multiple camera environments

Cooke, Eddie and O'Connor, Noel E. (2005) Scalable virtual viewpoint image synthesis for multiple camera environments. In: iV05 - 9th International Conference on Information Visualisation, 6-8 July 2005, London, UK.

Full text available as:

PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader


One of the main aims of emerging audio-visual (AV) applications is to provide interactive navigation within a captured event or scene. This paper presents a view synthesis algorithm that provides a scalable and flexible approach to virtual viewpoint synthesis in multiple camera environments. The multi-view synthesis (MVS) process consists of four different phases that are described in detail: surface identification, surface selection, surface boundary blending and surface reconstruction. MVS view synthesis identifies and selects only the best quality surface areas from the set of available reference images, thereby reducing perceptual errors in virtual view reconstruction. The approach is camera setup independent and scalable as virtual views can be created given 1 to N of the available video inputs. Thus, MVS provides interactive AV applications with a means to handle scenarios where camera inputs increase or decrease over time.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:image reconstruction; virtual reality;
Subjects:Engineering > Virtual reality
Computer Science > Algorithms
Computer Science > Computer simulation
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Publisher:Institute of Electrical and Electronics Engineers
Official URL:
Copyright Information:Copyright © 2005 IEEE. Reprinted from iV05 - 9th International Conference on Information Visualisation. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Dublin City University's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
Funders:Science Foundation Ireland, SFI 03/IN.3/I361
ID Code:238
Deposited On:06 Mar 2008 by DORAS Administrator. Last Modified 06 May 2010 11:03

Download statistics

Archive Staff Only: edit this record