Titlebook: RGB-D Image Analysis and Processing; Paul L. Rosin,Yu-Kun Lai,Yonghuai Liu Book 2019 Springer Nature Switzerland AG 2019 RGB-D Images.Comp

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RGB-D Sensors and Signal Processing for Fall Detectionavailability of easy-to-use sensors that are able to provide not only raw RGB-D signals but also preprocessed data like joints and skeleton spatial coordinates; additionally, depth signal processing allows to maintain adequate privacy in human monitoring, especially at the levels deemed acceptable b

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RGB-D Interactive Systems on Serious Games for Motor Rehabilitation Therapy and Therapeutic Measuremdifferent case studies where we applied the presented method. The first one consists of an interactive system based on a RGB-D sensor to calculate the Functional Reach Test (FRT). The second one consists on a RGB-D interactive system to improve the balance and postural control of adults with cerebra

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Book 2019overs the full state of the art, and consists of a series of chapters by internationally renowned experts in the field. Each chapter is written so as to provide a detailed overview of that topic. .RGB-D Image Analysis and Processing .will enable both students and professional developers alike to qui

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Oscar Meruvia-Pastorentation. Each chapter is a self-contained treatise by a world expert in the author‘s field of research, resulting in an indispensable resource and companion for laboratories that practice electron tomography o978-1-4419-2172-7978-0-387-69008-7

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2191-6586 enowned experts in the field. Each chapter is written so as to provide a detailed overview of that topic. .RGB-D Image Analysis and Processing .will enable both students and professional developers alike to qui978-3-030-28605-7978-3-030-28603-3Series ISSN 2191-6586 Series E-ISSN 2191-6594

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ame molecular assemblies after isolation. As with studies using single-particle cryoelectron microscopy, specimens smaller than 1 μ in size can be prepared for cryoelectron tomography by plunge-freezing (.). Cells or organelles can be rapidly frozen directly on an electron microscope grid in thin la

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Isaac Ronald Ward,Hamid Laga,Mohammed Bennamounection methods are difficult to classify in this scheme, since they are equivalent to convolution back-projection algorithms, but work on the real-space data as well as the Fourier transform data of either the object or the projections. Both convolution back-projection and weighted back-projection a

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Tongwei Ren,Ao Zhangection methods are difficult to classify in this scheme, since they are equivalent to convolution back-projection algorithms, but work on the real-space data as well as the Fourier transform data of either the object or the projections. Both convolution back-projection and weighted back-projection a

Consensus

Runmin Cong,Hao Chen,Hongyuan Zhu,Huazhu Funot be perturbed to one part in 10.. The mechanism must be contained in a volume of about one to a few cubic centimeters in the middle of an electron optical column, and vibration problems can be severe (Turner and Ratkowski, 1982). Some vibration modeling has been done (Valle .., 1980), but is of l