Paper
22 December 2000 Capturing, processing, and rendering real-world scenes
Lars S. Nyland, Anselmo A. Lastra, David K. McAllister, Voicu Popescu, Chris McCue, Henry Fuchs
Author Affiliations +
Proceedings Volume 4309, Videometrics and Optical Methods for 3D Shape Measurement; (2000) https://doi.org/10.1117/12.410894
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States
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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lars S. Nyland, Anselmo A. Lastra, David K. McAllister, Voicu Popescu, Chris McCue, and Henry Fuchs "Capturing, processing, and rendering real-world scenes", Proc. SPIE 4309, Videometrics and Optical Methods for 3D Shape Measurement, (22 December 2000); https://doi.org/10.1117/12.410894
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Cited by 23 scholarly publications.
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KEYWORDS
Data acquisition

Mirrors

Panoramic photography

Cameras

Data modeling

Data fusion

Visualization

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