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3D Imaging, Analysis and Applications (Hardcover, 2nd ed. 2020)
Loot Price: R3,387
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3D Imaging, Analysis and Applications (Hardcover, 2nd ed. 2020)
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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.
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.
3D computer vision is a rapidly advancing area in computer science.
There are many real-world applications that demand high-performance
3D imaging and analysis and, as a result, many new techniques and
commercial products have been developed. However, many challenges
remain on how to analyse the captured data in a way that is
sufficiently fast, robust and accurate for the application. Such
challenges include metrology, semantic segmentation, classification
and recognition. Thus, 3D imaging, analysis and their applications
remain a highly-active research field that will continue to attract
intensive attention from the research community with the ultimate
goal of fully automating the 3D data capture, analysis and
inference pipeline.
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