Ubiquitous Point Cloud: Theory, Model, and Applications [Hardcover]

This book provides the theory and methodology for 3D digitalization with point clouds and AI to better serve remote sensing, 3D vision, autonomous driving, metaverse, and other industries. It addresses various aspects of 3D geoinformation including data collection, fusion, interpretation, representation, and applications in different fields.

Part I: Introduction.  1. Introduction to Point Cloud.  2. Ubiquitous Point Cloud.  Part II: Introduction of Fusion and Enhancement.  3. Multiview Point Clouds Registration.  4. Cross-Platform Points Clouds Registration.  5. Point Clouds and Panoramic Images Registration.  Part III: Introduction of Detection and Segmentation.  6. 3D Object Detection.  7. Point Cloud Semantic Segmentation.  8. Point Cloud Instance Segmentation.  Part IV: Introduction of Modeling and Analysis.  9. 3D Terrain Modeling.  10. 3D Building Reconstruction.  11. 3D Road Reconstruction.  Part V: Software and Applications.  12. Point Cloud Processing Software  Point2Model.  13. Applications of Uniquitous Point Cloud.  14. Conclusion and Outlooks. 

Point clouds from LiDAR and photogrammetry are vital and vast sources of geospatial information besides remote sensing imagery. This book provides the latest theory and methodology for point cloud processing with AI to better serve earth observation, 3D vision, autonomous driving, smart city, and geospatial information applications. It covers various aspects of 3D geospatial information, including data capturing, fusing, geocomputing, modeling, and vast downstream applications. With the inclusion of numerous illustrations, diagrams, and practical applications, readers will better understanlă