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Proceedings Paper

Image-based scene representation using wavelet-based interval morphing
Author(s): Paul Bao; Dan Xu
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Paper Abstract

Scene appearance for a continuous range of viewpoint can be represented by a discrete set of images via image morphing. In this paper, we present a new robust image morphing scheme based on 2D wavelet transform and interval field interpolation. Traditional mesh-base and field-based morphing algorithms, usually designed in the spatial image space, suffer from very high time complexity and therefore make themselves impractical in real-time virtual environment applications. Compared with traditional morphing methods, the proposed wavelet-based interval morphing scheme performs interval interpolation in both the frequency and spatial spaces. First, the images of the scene can be significantly compressed in the frequency domain with little degradation in visual quality and therefore the complexity of the scene can be significantly reduced. Second, since a feature point in the image may correspond to a neighborhood in a subband image in the wavelet domain, we define feature interval for the wavelet-transformed images for an accurate feature matching between the morphing images. Based on the feature intervals, we employ the interval field interpolation to morph the images progressively in a coarse-to-fine process. Finally, we use a post-warping procedure to transform the interpolated views to its desired position. A nice future of using wavelet transformation is its multiresolution representation mode, which enables the progressive morphing of scene.

Paper Details

Date Published: 23 July 1999
PDF: 9 pages
Proc. SPIE 3694, Modeling, Simulation, and Visualization for Real and Virtual Environments, (23 July 1999); doi: 10.1117/12.354475
Show Author Affiliations
Paul Bao, Hong Kong Polytechnic Univ. (Hong Kong)
Dan Xu, Hong Kong Polytechnic Univ. (China)

Published in SPIE Proceedings Vol. 3694:
Modeling, Simulation, and Visualization for Real and Virtual Environments
Nickolas L. Faust; Steve Kessinger; Steve Kessinger, Editor(s)

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