View synthesis of uncalibrated stereo images using feature-based method and singular value decomposition

Chan, S. O.-Y. and Wong, Y. -P. (2003) View synthesis of uncalibrated stereo images using feature-based method and singular value decomposition. In: Visualization, Imaging, and Image Processing (VIIP 2003). Visualization, Imaging, and Image Processing (3). ACTA Press, pp. 454-459. ISBN 0889863822

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Official URL: http://www.actapress.com/PaperInfo.aspx?PaperID=14...

Abstract

View synthesis has been an active area of research among the computer vision and computer graphics community due to its fast and less complicated rendering of novel views as compared to the conventional 3-D reconstruction-projection procedure. In this paper, we will present an algorithm for rendering a novel view of object from two uncalibrated stereo images using a sparse set of features and utilizing singular value decomposition (SVD) for correspondence matching. This algorithm has the advantage that no knowledge of the intrinsic and extrinsic camera parameters is required. The weak calibration which is represented by the epipolar geometry is sufficient for the generation of novel views. We will also present results of the algorithm on real and synthetic images.

Item Type: Book Section
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 27 Dec 2013 03:24
Last Modified: 27 Dec 2013 03:24
URI: http://shdl.mmu.edu.my/id/eprint/4672

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