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Titlebook: 3D Imaging, Analysis and Applications; Yonghuai Liu,Nick Pears,Patrik Huber Textbook 2020Latest edition Springer Nature Switzerland AG 202

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發(fā)表于 2025-3-21 18:06:15 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)3D Imaging, Analysis and Applications
影響因子2023Yonghuai Liu,Nick Pears,Patrik Huber
視頻videohttp://file.papertrans.cn/101/100731/100731.mp4
發(fā)行地址Covers the whole spectrum of 3D imaging techniques from data acquisition to real-world applications.Includes both the fundamental and the latest theories and techniques of extensive topics in the fiel
圖書(shū)封面Titlebook: 3D Imaging, Analysis and Applications;  Yonghuai Liu,Nick Pears,Patrik Huber Textbook 2020Latest edition Springer Nature Switzerland AG 202
影響因子.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
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https://doi.org/10.1007/3-540-31759-7ation allows the acquisition of dense and accurate range images of textureless objects that are difficult to acquire using passive vision systems. An active 3D imaging system can be based on different measurement principles that include time-of-flight, triangulation, and interferometry. Here, an in-
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Designed Sampling with Crossover Operatorsation allows the acquisition of dense and accurate range images of textureless objects. An active 3D imaging system can be based on different measurement principles that include time-of-flight, triangulation, and interferometry. The different time-of-flight technologies allow the development of a pl
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Hidefumi Sawai,Susumu Adachi,Sachio Kizute in the range of 0.4–10?m and are targeted directly at cost-sensitive consumers. They are typically specialized for capturing dynamic human activities and are designed to interfere only minimally with such activities. They use infrared-light sources and produce a continuous stream of 3D data at vi
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David Greiner,Blas Galván,Gabriel Winterr first introduces the classical Iterative Closest Point (ICP) algorithm which represents the gold standard registration method. Current limitations of ICP are addressed, and the most popular variants of ICP are described to improve the basic implementation in several ways. Challenging registration
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George S. Dulikravich,Marcelo J. Cola?oportant in different applications, for instance, entertainment, medicine, security, art, just to name a few. It is therefore necessary to study how to properly process 3D information taking advantage of the properties that it provides. This chapter gives an overview of 3D shape matching and its appl
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Olivier Pironneau,Mathieu Laurières or chairs, in both 2D and 3D images. This ability helps us recognise the same person, distinguish different kinds of creatures and sketch unseen samples of the same object class. The process of capturing prior knowledge relating to the normal variations in an object class is mathematically interpr
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