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Proceedings Paper

Capturing, processing, and rendering real-world scenes
Author(s): Lars S. Nyland; Anselmo A. Lastra; David K. McAllister; Voicu Popescu; Chris McCue; Henry Fuchs
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Paper Abstract

While photographs vividly capture a scene from a single viewpoint, it is our goal to capture a scene in such a way that a viewer can freely move to any viewpoint, just as he or she would in an actual scene. We have built a prototype system to quickly digitize a scene using a laser rangefinder and a high-resolution digital camera that accurately captures a panorama of high-resolution range and color information. With real-world scenes, we have provided data to fuel research in many area, including representation, registration, data fusion, polygonization, rendering, simplification, and reillumination. The real-world scene data can be used for many purposes, including immersive environments, immersive training, re-engineering and engineering verification, renovation, crime-scene and accident capture and reconstruction, archaeology and historic preservation, sports and entertainment, surveillance, remote tourism and remote sales. We will describe our acquisition system, the necessary processing to merge data from the multiple input devices and positions. We will also describe high quality rendering using the data we have collected. Issues about specific rendering accelerators and algorithms will also be presented. We will conclude by describing future uses and methods of collection for real- world scene data.

Paper Details

Date Published: 22 December 2000
PDF: 10 pages
Proc. SPIE 4309, Videometrics and Optical Methods for 3D Shape Measurement, (22 December 2000); doi: 10.1117/12.410894
Show Author Affiliations
Lars S. Nyland, Univ. of North Carolina/Chapel Hill (United States)
Anselmo A. Lastra, Univ. of North Carolina/Chapel Hill (United States)
David K. McAllister, Univ. of North Carolina/Chapel Hill (United States)
Voicu Popescu, Univ. of North Carolina/Chapel Hill (United States)
Chris McCue, Univ. of North Carolina/Chapel Hill (United States)
Henry Fuchs, Univ. of North Carolina/Chapel Hill (United States)


Published in SPIE Proceedings Vol. 4309:
Videometrics and Optical Methods for 3D Shape Measurement
Sabry F. El-Hakim; Armin Gruen, Editor(s)

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