GA based adaptive sampling for image-based walkthrough
EGVE'06 Proceedings of the 12th Eurographics conference on Virtual Environments
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Image-based rendering for walkthrough in the virtual environment has many advantages should over the geometry-based approach, due to the fast construction of the environment and photo-realistic rendered results. In image-based rendering technique, rays from a set of input images are collected and a novel view image is rendered by the resampling of the stored rays. Current such techniques, however, are limited to a closed capture space. In this paper, we propose a multiple path-based capture configuration that can handle a large-scale scene and a disparity-based warping method for novel view generation. To acquire the disparity image, we segment the input image into vertical slit segments using a robust and inexpensive way of detecting vertical depth discontinuity. The depth slit segments, instead of depth pixels, reduce the processing time for novel view generation. We also discuss a dynamic cache strategy that supports real-time walkthroughs in large and complex street environments. The efficiency of the proposed method is demonstrated with several experiments. Copyright © 2005 John Wiley & Sons, Ltd.