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

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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

Cytology

George S. Dulikravich,Marcelo J. Colaçoportant 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