3D Synthetic Environment Reconstruction

Although synthetic environments were traditionally used in military settings for mission rehearsal and simulations, their use is rapidly spreading to a variety of applications in the commercial, research and industrial sectors, such as flight training for commercial aircraft, city planning, car safety research in real-time traffic simulations, and video games.
3D Synthetic Environment Reconstruction contains seven invited chapters from leading experts in the field, bringing together a coherent body of recent knowledge relating 3D geospatial data collection, design issues, and techniques used in synthetic environments design, implementation and interoperability. In particular, this book describes new techniques for the generation of Synthetic Environments with increased resolution and rich attribution, both essential for accurate modeling and simulation. This book also deals with interoperability of models and simulations, which is necessary for facilitating the reuse of modeling and simulation components.
3D Synthetic Environment Reconstruction is an excellent reference for researchers and practitioners in the field.

Inhalt

Preface. 1. 1. Introduction. 2. 3D Synthetic Environment Applications. 3. Synthetic Environment Data. 4. The Synthetic Environment Database Generation Process. 5. Synthetic Environment Database Exchange, Reuse and Sharing. 6. Synthetic Environment Visualization Technologies. 7. Conclusion. 8. Acknowledgements. 2. 1. Introduction. 2. Preliminaries. 3. Multiresolution Meshes. 4. Survey of Existing Models. 5. Conclusions. 3. 1. Introduction. 2. The VPF+ Data Structure. 3. The Prototype. 4. NRL's GIDB. 5. Conclusion. 6. Acknowledgements. 4. 1. Introduction. 2. Data Acquisition. 3. Automated Reconstruction. 4. Texture Mapping. 5. Conclusions and Outlook. 5. 1. Introduction / Photo-Realistic Visualization. 2. Visualization. 3. Capturing. 4. Conclusion and Outlook. 6. 1. Introduction. 2. Modeling Requirements for a Mobile Augmented Reality System. 3. Modeling Methods. 4. Conclusions. 7. 1. Introduction. 2. Data Sources. 3. Background Work on Urban Database Construction. 4. Model Building Strategies. 5. Semi-Automatic Urban Construction. 6. Background Work on Urban Visualization. 7. Real-Time Urban Visualization. 8. Conclusions. 9. Future Directions.