English | 2020 | ISBN: 978-3030440695 | 748 Pages | PDF, EPUB | 195 MBThis 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. Overall, the book covers three main areas:
- 3D imaging, including passive 3D imaging, active triangulation 3D imaging, active time-of-flight 3D imaging, consumer RGB-D cameras, and 3D data representation and visualisation;
- 3D shape analysis, including local descriptors, registration, matching, 3D morphable models, and deep learning on 3D datasets; and
- 3D applications, including 3D face recognition, cultural heritage and 3D phenotyping of plants.