Paper
23 August 1995 Virtual reality using remote sensing
Yishuo Huang, Sharon X. Wang, Murali Rao, Carl D. Crane III, Bon Dewitt, James S. Tulenko
Author Affiliations +
Abstract
Virtual reality is becoming increasingly important as a tool to provide cost-effective alternatives for training and to provide enhanced capabilities for activities, such as mission preview, planning and rehearsal. The ability to generate virtual reality utilizing a photo database or remote sensed satellite imagery is particularly of interest. The key to ensure the success of remote sensing-based virtual reality is a system that is able to quickly reconstruct a 3D scene in object space with a realistic appearance. This paper proposes a system to accomplish this task. Main issues of the system include: (1) image registration, (2) feature correspondence and extrusion, and (3) realistic 3D feature rendering. The image registration is achieved by employing a novel method based on the higher-dimension concept. To obtain a high speed, the feature correspondence is implemented using a mathematically well-defined, edge-based method in a multiresolution scheme. Realistic 3D feature rendering creates a photo realistic scene. To further accelerate the processing speed, the system is to be implemented on a parallel computer nCUBE 2 with a Silicon Graphics workstation as a host machine. An example is presented in this paper to demonstrate the capability of the system.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yishuo Huang, Sharon X. Wang, Murali Rao, Carl D. Crane III, Bon Dewitt, and James S. Tulenko "Virtual reality using remote sensing", Proc. SPIE 2572, Remote Sensing and Reconstruction for Three-Dimensional Objects and Scenes, (23 August 1995); https://doi.org/10.1117/12.216937
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Cited by 1 scholarly publication.
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KEYWORDS
3D modeling

3D image processing

Pattern recognition

Image registration

Virtual reality

Databases

Data modeling

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