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Summary: A SPATIAL IMAGE HIERARCHY FOR
COMPRESSION IN IMAGE-BASED- RENDERING
Daniel G. Aliaga Ingrid Carlbom
Department of Computer Science at Purdue University Lucent Technologies Bell Labs
Abstract
Image-based rendering (IBR) systems create photorealistic
views of complex 3D environments by resampling large
collections of images captured in the environment. The quality
of the resampled images increases significantly with higher
image capture density. Thus, a significant challenge in
interactive IBR systems is to provide both fast image access
along arbitrary viewpoint paths and efficient storage of large
image data sets.
We describe a compression scheme based on a spatial
image hierarchy that meets the requirements of interactive IBR
walkthroughs. By exploiting image coherence over the entire
image capture plane, we achieve compression performance
similar to traditional motion-compensated schema, e.g., MPEG,
yet allow image access along arbitrary paths. Furthermore, by
exploiting graphics hardware for image resampling, we achieve
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