3d Data Registration

This textbook is designed for postgraduate studies in the field of 3D Computer Vision. It also provides a useful reference for industrial practitioners; for example, in the areas of 3D data capture, computer-aided geometric modelling and industrial quality assurance. This second edition is a significant upgrade of existing topics with novel findings. Additionally, it has new material covering consumer-grade RGB-D cameras, 3D morphable models, deep learning on 3D datasets, as well as new applications in the 3D digitization of cultural heritage and the 3D phenotyping of crops.

This textbook is designed for postgraduate studies in the field of 3D Computer Vision. It also provides a useful reference for industrial practitioners; for example, in the areas of 3D data capture, computer-aided geometric modelling and industrial quality assurance. This second edition is a significant upgrade of existing topics with novel findings. Additionally, it has new material covering consumer-grade RGB-D cameras, 3D morphable models, deep learning on 3D datasets, as well as new applications in the 3D digitization of cultural heritage and the 3D phenotyping of crops.

This textbook is designed for postgraduate studies in the field of 3D Computer Vision. It also provides a useful reference for industrial practitioners; for example, in the areas of 3D data capture, computer-aided geometric modelling and industrial quality assurance. This second edition is a significant upgrade of existing topics with novel findings. Additionally, it has new material covering consumer-grade RGB-D cameras, 3D morphable models, deep learning on 3D datasets, as well as new applications in the 3D digitization of cultural heritage and the 3D phenotyping of crops.

Master the art of 3D point cloud processing with our comprehensive Lidar course. Ideal for surveyors and geomaticians.

This unique work presents a detailed review of the processing and analysis of 3D point clouds. A fully automated framework is introduced, incorporating each aspect of a typical end-to-end processing workflow, from raw 3D point cloud data to semantic objects in the scene. For each of these components, the book describes the theoretical background, and compares the performance of the proposed approaches to that of current state-of-the-art techniques.

This book originates from the ISPRS/CIPA Workshop "3D-ARCH 2017 - 3D Virtual Reconstruction and Visualization of Complex Architectures," which was held in March 2017 in Nafplio, Greece. The main workshop's scope was to bring together scientists, developers and advanced users in 3D surveying and data processing and to encourage cooperation and practice sharing in the various fields where 3D technologies are nowadays used. The workshop focused primarily on multi-source and multi-sensors approaches, low-cost sensors and open-source algorithms for terrestrial 3D modelling, automation in data registration, image matching and 3D reconstruction, point cloud analysis, 4D modelling, BIM/HBIM and procedural modelling, accuracy requirement and assessment in 3D reconstructions, 3D applications in terrestrial and underwater environments, Virtual and Augmented Reality (VR/AR) applied to the visualization and conservation of complex architectures and heritage. The most exciting and innovative papers presented at the workshop were selected to be extended and included in this cornerstone collection.

This book proposes a complete pipeline for monocular (single camera) based 3D mapping of terrestrial and underwater environments. The aim is to provide a solution to large-scale scene modeling that is both accurate and efficient. To this end, we have developed a novel Structure from Motion algorithm that increases mapping accuracy by registering camera views directly with the maps. The camera registration uses a dual approach that adapts to the type of environment being mapped.

The 3Dflow product team is pleased to announce the availability of Zephyr 4.523, is the software solution by 3Dflow to automatically deal with any 3D reconstruction and scanning challenge.