Kategoria BISAC: Computers >> Artificial Intelligence - Computer Vision & Pattern Recognition

Das Buch fuhrt in die Grundlagen Web-basierter Anwendungen virtueller Techniken ein. Im Forschungsprojekt ARVIDA wurde hierzu eine dienste-basierte Referenzarchitektur entwickelt. Die Umfelderkennung bildete einen weiteren Schwerpunkt. Diese Technologien wurden zur Evaluation in industriellen Anwendungsszenarien erfolgreich erprobt. Die Projektergebnisse werden insbesondere im Zusammenhang mit Industrie 4.0 diskutiert.

Die Herausgeber leiten das Verbundprojekt ARVIDA; die Autoren sind international anerkannte Fachleute auf ihren Forschungs- und Arbeitsgebieten in Industrie und...

This book contains extended and revised versions of selected papers from the Third International Congress on Sports Science Research and Technology Support, icSPORTS 2015, held in Lisbon, Portugal, in 2015.

This book constitutes the proceedings of the 5th International Conference on Analysis of Images, Social Networks and Texts, AIST 2016, held in Yekaterinburg, Russia, in April 2016.

The 23 full papers, 7 short papers, and 3 industrial papers were carefully reviewed and selected from 142 submissions. The papers are organized in topical sections on machine learning and data analysis; social networks; natural language processing; analysis of images and video.

Develop applications in Microsoft Kinect 2 using gesture and speech recognition, scanning of objects in 3D, and body tracking. Create motion-sensing applications for entertainment and practical uses, including for commercial products and industrial applications.

Beginning Microsoft Kinect for Windows SDK 2.0 is dense with code and examples to ensure that you understand how to build Kinect applications that can be used in the real world. Techniques and ideas are presented to facilitate incorporation of the Kinect with other technologies.

With a focus on the interplay between mathematics and applications of imaging, the first part covers topics from optimization, inverse problems and shape spaces to computer vision and computational anatomy. The second part is geared towards geometric control and related topics, including Riemannian geometry, celestial mechanics and quantum control.

Contents:
Part I
Second-order decomposition model for image processing: numerical experimentation
Optimizing spatial and tonal data for PDE-based inpainting
Image registration using...

The series is devoted to the publication of high-level monographs, surveys and proceedings which cover the whole spectrum of computational and applied mathematics.

The books of this series are addressed to both specialists and advanced students.

Interested authors may submit book proposals to the Managing Editor or to any member of the Editorial Board.

Managing Editor
Ulrich Langer, Johannes Kepler University Linz, Austria

Editorial Board
Hansjorg Albrecher, University of Lausanne, Switzerland
Heinz W. Engl,...

This book constitutes the proceedings of the 13th International Symposium on Smart Graphics, SG 2015, held in Chengdu, China, in August 2015.

The 17 full and 3 short papers presented in this volume were carefully reviewed and selected from 35 submissions. They are organized in topical sections named: graphics, sketching and visualization, automation and evaluation, image processing, and posters and demo session.

Low-Rank Models in Visual Analysis: Theories, Algorithms, and Applications presents the state-of-the-art on low-rank models and their application to visual analysis. It provides insight into the ideas behind the models and their algorithms, giving details of their formulation and deduction. The main applications included are video denoising, background modeling, image alignment and rectification, motion segmentation, image segmentation and image saliency detection. Readers will learn which Low-rank models are highly useful in practice (both linear and nonlinear models), how to solve...

Pattern Recognition and Classification presents a comprehensive introduction to the core concepts involved in automated pattern recognition. It is designed to be accessible to newcomers from varied backgrounds, but it will also be useful to researchers and professionals in image and signal processing and analysis, and in...