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

Multiple image view synthesis for free viewpoint video applications

Cooke, Eddie and O'Connor, Noel E. (2005) Multiple image view synthesis for free viewpoint video applications. In: ICIP 2005 - International Conference on Image Processing, 11-14 September 2005, Genova, Italy.

Full text available as:

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


Interactive audio-visual (AV) applications such as free viewpoint video (FVV) aim to enable unrestricted spatio-temporal navigation within multiple camera environments. Current virtual viewpoint view synthesis solutions for FVV are either purely image-based implying large information redundancy; or involve reconstructing complex 3D models of the scene. In this paper we present a new multiple image view synthesis algorithm that only requires camera parameters and disparity maps. The multi-view synthesis (MVS) approach can be used in any multi-camera environment and is scalable as virtual views can be created given 1 to N of the available video inputs, providing a means to gracefully handle scenarios where camera inputs decrease or increase over time. The algorithm identifies and selects only the best quality surface areas from available reference images, thereby reducing perceptual errors in virtual view reconstruction. Experimental results are presented and verified using both objective (PSNR) and subjective comparisons.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:cameras; image reconstruction;
Subjects:Computer Science > Digital video
Computer Science > Image processing
Computer Science > Algorithms
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 ICIP 2005 - International Conference on Image Processing. 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.
ID Code:237
Deposited On:06 Mar 2008 by DORAS Administrator. Last Modified 02 Feb 2009 16:46

Download statistics

Archive Staff Only: edit this record