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Scene Reconstruction Pose Estimation & Tracking, Danel Jaso


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Цена: 230210.00T
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Автор: Danel Jaso
Название:  Scene Reconstruction Pose Estimation & Tracking
ISBN: 9781681175843
Издательство: Gazelle Book Services
Классификация:


ISBN-10: 1681175843
Обложка/Формат: Hardback
Страницы: 316
Вес: 0.88 кг.
Дата издания: 01.01.2017
Серия: Computing & IT
Язык: English
Размер: 234 x 238 x 24
Читательская аудитория: Professional & vocational
Ключевые слова: Artificial intelligence
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Поставляется из: Англии
Описание: This book envisages contemporary advances in the use of pattern recognition techniques for computer and robot vision. The disciplines of pattern recognition and computational vision have been intimately entangled since their early days, some four decades ago with the development of fast digital computing. It is generally easy for a person to differentiate the sound of a human voice, from that of a violin; a handwritten numeral 3 from an 8; and the aroma of a rose, from that of an onion. Though, it is difficult for a programmable computer to solve these kinds of perceptual problems. These problems are difficult because each pattern usually contains a large amount of information, and the recognition problems typically have an inconspicuous, high-dimensional, structure. Pattern recognition is the science of making inferences from perceptual data, using tools from statistics, probability, computational geometry, machine learning, signal processing, and algorithm design. Thus, it is of central importance to artificial intelligence and computer vision, and has far-reaching applications in engineering, science, medicine, and business. In particular, advances made during the last half century, now allow computers to interact more effectively with humans and the natural world (eg: speech recognition software). However, the most important problems in pattern recognition are yet to be solved. Pattern recognition is generally categorised according to the type of learning procedure used to generate the output value. Supervised learning assumes that a set of training data (the training set) has been provided, consisting of a set of instances that have been properly labelled by hand with the correct output. All computer vision techniques could be regarded as a form of pattern recognition, in the broadest sense of the term.

Reconstruction, Segmentation, and Analysis of Medical Images

Автор: Maria A. Zuluaga; Kanwal Bhatia; Bernhard Kainz; M
Название: Reconstruction, Segmentation, and Analysis of Medical Images
ISBN: 3319522795 ISBN-13(EAN): 9783319522791
Издательство: Springer
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Цена: 46570.00 T
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Описание: Registration.- Reconstruction.- Deep learning for heart segmentation.- Discrete optimization and probabilistic intensity modeling.- Atlas-based strategies.- Random forests.

Mapping, Planning and Exploration with Pose SLAM

Автор: Rafael Valencia; Juan Andrade-Cetto
Название: Mapping, Planning and Exploration with Pose SLAM
ISBN: 3319606026 ISBN-13(EAN): 9783319606026
Издательство: Springer
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Цена: 111790.00 T
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Описание: This monograph introduces a unifying framework for mapping, planning and exploration with mobile robots considering uncertainty, linking such problems with a common SLAM approach, adopting Pose SLAM as the basic state estimation machinery. Pose SLAM is the variant of SLAM where only the robot trajectory is estimated and where landmarks are used to produce relative motion measurements between robot poses. With regards to extending the original Pose SLAM formulation, this monograph covers the study of such measurements when they are obtained with stereo cameras, develops the appropriate noise propagation models for such case, extends the Pose SLAM formulation to SE(3), introduces information-theoretic loop closure tests, and presents a technique to compute traversability maps from the 3D volumetric maps obtained with Pose SLAM. A relevant topic covered in this monograph is the introduction of a novel path planning approach that exploits the modeled uncertainties in Pose SLAM to search for the path in the pose graph that allows the robot to navigate to a given goal with the least probability of becoming lost. Another relevant topic is the introduction of an autonomous exploration method that selects the appropriate actions to drive the robot so as to maximize coverage, while minimizing localization and map uncertainties. This monograph is appropriate for readers interested in an information-theoretic unified perspective to the SLAM, path planning and exploration problems, and is a reference book for people who work in mobile robotics research in general.

A Semidiscrete Version of the Citti-Petitot-Sarti Model as a Plausible Model for Anthropomorphic Image Reconstruction and Pattern Recognition

Автор: Prandi
Название: A Semidiscrete Version of the Citti-Petitot-Sarti Model as a Plausible Model for Anthropomorphic Image Reconstruction and Pattern Recognition
ISBN: 3319784811 ISBN-13(EAN): 9783319784816
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book proposes a semi-discrete version of the theory of Petitot and Citti-Sarti, leading to a left-invariant structure over the group SE(2,N), restricted to a finite number of rotations.

3D Synthetic Environment Reconstruction

Автор: Mahdi Abdelguerfi
Название: 3D Synthetic Environment Reconstruction
ISBN: 1461346827 ISBN-13(EAN): 9781461346821
Издательство: Springer
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Цена: 139750.00 T
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Variation Based Dense 3D Reconstruction

Автор: Sven Painer
Название: Variation Based Dense 3D Reconstruction
ISBN: 3658126973 ISBN-13(EAN): 9783658126971
Издательство: Springer
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Цена: 52240.00 T
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Описание: In his master thesis,Sven Painer develops, implements, and evaluates a method to reconstruct theliver surface from monocular mini-laparoscopic sequences. A Structure from Motion approachis performed to do a sparse reconstruction of the liver surface and subsequentlythis information is used in a variation based dense 3D reconstruction.

Iterative-Interpolation Super-Resolution Image Reconstruction

Автор: Vivek Bannore
Название: Iterative-Interpolation Super-Resolution Image Reconstruction
ISBN: 3642101453 ISBN-13(EAN): 9783642101458
Издательство: Springer
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Цена: 139750.00 T
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Описание: This book presents a novel, hybrid, computationally-efficient reconstruction scheme for solving the problem of super-resolution restoration of high-resolution images from sequences of geometrically warped, aliased and under-sampled low-resolution images.

Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment

Автор: M. Jorge Cardoso; Tal Arbel; Fei Gao; Bernhard Kai
Название: Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment
ISBN: 331967563X ISBN-13(EAN): 9783319675633
Издательство: Springer
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Цена: 46570.00 T
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Описание:

This book constitutes the refereed joint proceedings of the International Workshop on Computational Methods for Molecular Imaging, CMMI 2017, the International Workshop on Reconstruction and Analysis of Moving Body Organs, RAMBO 2017, and the International Stroke Workshop: Imaging and Treatment Challenges, SWITCH 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Quebec City, QC, Canada, in September 2017.

The 5 full papers presented at FIFI 2017, the 9 full papers presented at RAMBO 2017, and the 4 full papers presented at SWITCH 2017 were carefully reviewed and selected. The CMMI papers cover various areas from image synthesis to data analysis and from clinical diagnosis to therapy individualization, using molecular imaging modalities PET, SPECT, PET/CT, SPECT/CT, and PET/MR. The RAMBO papers present research from both academia and industry, They are organized into the categories "registration and tracking" and "image reconstruction and information retrieval" while application areas include cardiac, pulmonal, abdominal, fetal, and renal imaging. The SWITCH papers focus on CT(A)-based quantitative imaging biomarkers for stroke.




3D Surface Reconstruction

Автор: Francesco Bellocchio; N. Alberto Borghese; Stefano
Название: 3D Surface Reconstruction
ISBN: 1493901176 ISBN-13(EAN): 9781493901173
Издательство: Springer
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Цена: 107130.00 T
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Описание: 3D Surface Reconstruction: Multi-Scale Hierarchical Approaches presents methods to model 3D objects in an incremental way so as to capture more finer details at each step. Innovative approaches, based on two popular machine learning paradigms, namely Radial Basis Functions and the Support Vector Machines, are also introduced.

Automatic Calibration and Reconstruction for Active Vision Systems

Автор: Beiwei Zhang; Y. F. Li
Название: Automatic Calibration and Reconstruction for Active Vision Systems
ISBN: 9401781001 ISBN-13(EAN): 9789401781008
Издательство: Springer
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Цена: 104480.00 T
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Описание: This book explores new planar patterns for camera calibration of intrinsic parameters, offering a line-based method for distortion correction. Covers calibration of structured light systems, and 3D Euclidean reconstruction using image-to-world transformation.


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