Generalized Multiple Baseline Stereo and Direct Virtual View Synthesis Using Range-Space Search, Match, and Render |
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| Authors: | Kim C Ng Mohan Trivedi Hiroshi Ishiguro |
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| Affiliation: | (1) AST – La Jolla Lab, STMicroelectronics, 4690 Executive Dr, San Diego, CA 92121, USA;(2) Computer Vision & Robotics Research Lab, University of California, San Diego, CA 92093, USA;(3) Department of Computer and Communication Sciences, Wakayama University, Japan |
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| Abstract: | A new  range-space approach is described for synergistic resolution of both stereovision and reflectance (visual) modeling problems simultaneously. This synergistic approach can be applied to arbitrary camera arrangements with different intrinsic and extrinsic parameters, image types, image resolutions, and image number. These images are analyzed in a step-wise manner to extract 3-D range measurements and also to render a customized perspective view. The entire process is fully automatic. An extensive and detailed experimental validation phase supports the basic feasibility and generality of the Range-Space Approach. |
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| Keywords: | range-space approach generalized multiple baseline stereo direct virtual view synthesis wide-baseline stereo volumetric matching template matching curve characteristics error region volume growing virtual walkthrough image-based rendering omni-directional video |
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