Topics and features:
- Reviews techniques for the acquisition of 3D point cloud data and for point quality assessment
- Explains the fundamental concepts for extracting features from 2D imagery and 3D point cloud data
- Proposes an original approach to keypoint-based point cloud registration
- Discusses the enrichment of 3D point clouds by additional information acquired with a thermal camera, and describes a new method for thermal 3D mapping
- Presents a novel framework for 3D scene analysis, addressing neighborhood selection, feature extraction, feature selection, and classification
- Covers each aspect of a typical end-to-end processing workflow, from raw 3D point cloud data to semantic objects in the scene
This clearly-structured and accessible work will be of great interest to a broad audience, from students at undergraduate or graduate level, to lecturers, practitioners and researchers in photogrammetry, remote sensing, computer vision and robotics.
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