A Multi-Camera Method for 3D Digitization of Dynamic, Real-World Events (1998) [6 citations — 0 self]
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@TECHREPORT{Rander98amulti-camera,author = {Peter Rander and Mel Siegel},
title = {A Multi-Camera Method for 3D Digitization of Dynamic, Real-World Events},
institution = {},
year = {1998}
}
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Abstract:
This thesis presents a method for the 3D digitization of dynamic, real-world events. This task requires sufficient temporal and spatial sampling to capture the entirety of an event, as well as the estimation of 3D shape and appearance over time. Direct sensing of global 3D structure is not feasible because of the motion of the scene, and even range scanning systems usually sample too coarsely or too slowly to accurately capture dynamic events. This thesis presents a method of 3D digitization that overcomes this sensing problem through the use of a synchronized collection of a large number of calibrated video cameras. Our 3D digitization method decomposes 3D shape recovery into the estimation of visible structure in each video frame followed by the integration of visible structure into a complete 3D model. Visible surfaces are extracted using the multi-baseline stereo (MBS) algorithm. This implementation of MBS efficiently supports any number cameras in general positions through a novel rectification strategy for general camera configurations that do not allow the rectification of all images to a single 3D plane. Stereo-computed range images are then integrated within a volumetric space using a novel integration strategy.
