Video registration (20 Ergebnisse)

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Image, Video and 3D Data Registration
Argyriou Vasileios Rincon Jesus Martinez Del Villarini Barbara Roche Alexis
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Image, Video & 3D Data Registration : Medical, Satellite & Video Processing Applications with Quality Metrics
Argyriou, Vasileios; Del Rincon, Jesus Martinez; Villarini, Barbara; Roche, Alexis
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Zustand: New. Data registration refers to a series of techniques for matching or bringing similar objects or datasets together into alignment. Num Pages: 256 pages. BIC Classification: TJ; UYT. Category: (P) Professional & Vocational. Dimension: 177 x 251 x 17. Weight in Grams: 564. . 2015. 1st Edition. Hardcover. . . . .…

Image, Video & 3D Data Registration : Medical, Satellite & Video Processing Applications with Quality Metrics
Argyriou, Vasileios; Del Rincon, Jesus Martinez; Villarini, Barbara; Roche, Alexis
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Zustand: New. Video imagery has many advantages over still frame imagery. This is a survey of the state of the art in this fundamental technology. It is useful for both academicians and practising engineers working in the fields of security, surveillance, multimedia, and robotics. Editor(s): Shah, Mubarak; Kumar, Rakesh. Series: The International Series in Video Computing. Num Pages: 257 pages, biography. BIC Classification: UGV. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 17. Weight in Grams: 565. . 2003. Hardback. . . . . …

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Zustand: New. Data registration refers to a series of techniques for matching or bringing similar objects or datasets together into alignment. Num Pages: 256 pages. BIC Classification: TJ; UYT. Category: (P) Professional & Vocational. Dimension: 177 x 251 x 17. Weight in Grams: 564. . 2015. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.…

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Traditionally, scientific fields have defined boundaries, and scientists work on research problems within those boundaries. However, from time to time those boundaries get shifted or blurred to evolve new fields. For instance, the original goal of computer vision was to understand a single image of a scene, by identifying objects, their structure, and spatial arrangements. This has been referred to as image understanding. Recently, computer vision has gradually been making the transition away from understanding single images to analyz ing image sequences, or video understanding. Video understanding deals with understanding of video sequences, e. g. , recognition of gestures, activities, fa cial expressions, etc. The main shift in the classic paradigm has been from the recognition of static objects in the scene to motion-based recognition of actions and events. Video understanding has overlapping research problems with other fields, therefore blurring the fixed boundaries. Computer graphics, image processing, and video databases have obvious overlap with computer vision. The main goal of computer graphics is to gener ate and animate realistic looking images, and videos. Researchers in computer graphics are increasingly employing techniques from computer vision to gener ate the synthetic imagery. A good example of this is image-based rendering and modeling techniques, in which geometry, appearance, and lighting is de rived from real images using computer vision techniques. Here the shift is from synthesis to analysis followed by synthesis.…

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Zustand: New. Data registration refers to a series of techniques for matching or bringing similar objects or datasets together into alignment. These techniques enjoy widespread use in a diverse variety of applications, such as video coding, tracking, object and face dete.

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Gebunden. Zustand: New. Traditionally, scientific fields have defined boundaries, and scientists work on research problems within those boundaries. However, from time to time those boundaries get shifted or blurred to evolve new fields. For instance, the original goal of computer .

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Zustand: New. Video imagery has many advantages over still frame imagery. This is a survey of the state of the art in this fundamental technology. It is useful for both academicians and practising engineers working in the fields of security, surveillance, multimedia, and robotics. Editor(s): Shah, Mubarak; Kumar, Rakesh. Series: The International Series in Video Computing. Num Pages: 257 pages, biography. BIC Classification: UGV. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 17. Weight in Grams: 565. . 2003. Hardback. . . . . Books ship from the US and Ireland. …

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Buch. Zustand: Neu. Neuware - Data registration refers to a series of techniques for matching or bringing similar objects or datasets together into alignment. These techniques enjoy widespread use in a diverse variety of applications, such as video coding, tracking, object and face detection and recognition, surveillance and satellite imaging, medical image analysis and structure from motion. Registration methods are as numerous as their manifold uses, from pixel level and block or feature based methods to Fourier domain methods.This book is focused on providing algorithms and image and video techniques for registration and quality performance metrics. The authors provide various assessment metrics for measuring registration quality alongside analyses of registration techniques, introducing and explaining both familiar and state-of-the-art registration methodologies used in a variety of targeted applications.Key features:\* Provides a state-of-the-art review of image and video registration techniques, allowing readers to develop an understanding of how well the techniques perform by using specific quality assessment criteria\* Addresses a range of applications from familiar image and video processing domains to satellite and medical imaging among others, enabling readers to discover novel methodologies with utility in their own research\* Discusses quality evaluation metrics for each application domain with an interdisciplinary approach from different research perspectives.…

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Buch. Zustand: Neu. Neuware - Traditionally, scientific fields have defined boundaries, and scientists work on research problems within those boundaries. However, from time to time those boundaries get shifted or blurred to evolve new fields. For instance, the original goal of computer vision was to understand a single image of a scene, by identifying objects, their structure, and spatial arrangements. This has been referred to as image understanding. Recently, computer vision has gradually been making the transition away from understanding single images to analyz ing image sequences, or video understanding. Video understanding deals with understanding of video sequences, e. g. , recognition of gestures, activities, fa cial expressions, etc. The main shift in the classic paradigm has been from the recognition of static objects in the scene to motion-based recognition of actions and events. Video understanding has overlapping research problems with other fields, therefore blurring the fixed boundaries. Computer graphics, image processing, and video databases have obvious overlap with computer vision. The main goal of computer graphics is to gener ate and animate realistic looking images, and videos. Researchers in computer graphics are increasingly employing techniques from computer vision to gener ate the synthetic imagery. A good example of this is image-based rendering and modeling techniques, in which geometry, appearance, and lighting is de rived from real images using computer vision techniques. Here the shift is from synthesis to analysis followed by synthesis.…