Zhao guoying (68 risultati)

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Hardback. Condizione: New. Understand a new set of tools for incorporating additive manufacturing into design Additive Manufacturing, also known as 3D printing, is a method for building three-dimensional objects by layering materials. It has revolutionized every area of the manufacturing industry, permitting the rapid and precise fabrication of complex objects constructed of heterogeneous materials and with varied applications. The race is now on for design principles and technologies to keep pace with this explosive new manufacturing market. Design for Additive Manufacturing responds to this demand for new design methods with a thorough and cutting-edge overview. Beginning with fundamental principles of additive manufacturing, the book analyzes how decisions made at the design stage will impact the final product, before building out a comprehensive framework for understanding the interplay between additive manufacturing and design. The result is a must-have resource for students, researchers, and industry professionals alike. Design for Additive Manufacturing readers will also find: Tools for quickly identifying the most suitable design approach by which to incorporate additive manufacturing into a given project Detailed coverage of the latest trends in design for additive manufacturing, including data-driven design Examples and case studies highlighting different AM design methods Design for Additive Manufacturing is ideal for students and instructors in additive manufacturing courses, as well as mechanical engineers, designers, and researchers working with additive manufacturing elements. …

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Condizione: New. pp. 388.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Techniques of vision-based motion analysis aim to detect, track, identify, and generally understand the behavior of objects in image sequences. With the growth of video data in a wide range of applications from visual surveillance to human-machine interfaces, the ability to automatically analyze and understand object motions from video footage is of increasing importance. Among the latest developments in this field is the application of statistical machine learning algorithms for object tracking, activity modeling, and recognition.Developed from expert contributions to the first and second International Workshop on Machine Learning for Vision-Based Motion Analysis, this important text/reference highlights the latest algorithms and systems for robust and effective vision-based motion understanding from a machine learning perspective. Highlighting the benefits of collaboration between the communities of object motion understanding and machine learning, the book discusses the most active forefronts of research, including current challenges and potential future directions.Topics and features: provides a comprehensive review of the latest developments in vision-based motion analysis, presenting numerous case studies on state-of-the-art learning algorithms; examines algorithms for clustering and segmentation, and manifold learning for dynamical models; describes the theory behind mixed-state statistical models, with a focus on mixed-state Markov models that take into account spatial and temporal interaction; discusses object tracking in surveillance image streams, discriminative multiple target tracking, and guidewire tracking in fluoroscopy; explores issues of modeling for saliency detection, human gait modeling, modeling of extremely crowded scenes, and behavior modeling from video surveillance data; investigates methods for automatic recognition of gestures in Sign Language, and human action recognition from small training sets.Researchers, professional engineers, and graduate students in computer vision, pattern recognition and machine learning, will all find this text an accessible survey of machine learning techniques for vision-based motion analysis. The book will also be of interest to all who work with specific vision applications, such as surveillance, sport event analysis, healthcare, video conferencing, and motion video indexing and retrieval.…

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Techniques of vision-based motion analysis aim to detect, track, identify, and generally understand the behavior of objects in image sequences. With the growth of video data in a wide range of applications from visual surveillance to human-machine interfaces, the ability to automatically analyze and understand object motions from video footage is of increasing importance. Among the latest developments in this field is the application of statistical machine learning algorithms for object tracking, activity modeling, and recognition.Developed from expert contributions to the first and second International Workshop on Machine Learning for Vision-Based Motion Analysis, this important text/reference highlights the latest algorithms and systems for robust and effective vision-based motion understanding from a machine learning perspective. Highlighting the benefits of collaboration between the communities of object motion understanding and machine learning, the book discusses the most active forefronts of research, including current challenges and potential future directions.Topics and features: provides a comprehensive review of the latest developments in vision-based motion analysis, presenting numerous case studies on state-of-the-art learning algorithms; examines algorithms for clustering and segmentation, and manifold learning for dynamical models; describes the theory behind mixed-state statistical models, with a focus on mixed-state Markov models that take into account spatial and temporal interaction; discusses object tracking in surveillance image streams, discriminative multiple target tracking, and guidewire tracking in fluoroscopy; explores issues of modeling for saliency detection, human gait modeling, modeling of extremely crowded scenes, and behavior modeling from video surveillance data; investigates methods for automatic recognition of gestures in Sign Language, and human action recognition from small training sets.Researchers, professional engineers, and graduate students in computer vision, pattern recognition and machine learning, will all find this text an accessible survey of machine learning techniques for vision-based motion analysis. The book will also be of interest to all who work with specific vision applications, such as surveillance, sport event analysis, healthcare, video conferencing, and motion video indexing and retrieval.…

Hardback. Condizione: New. Understand a new set of tools for incorporating additive manufacturing into design Additive Manufacturing, also known as 3D printing, is a method for building three-dimensional objects by layering materials. It has revolutionized every area of the manufacturing industry, permitting the rapid and precise fabrication of complex objects constructed of heterogeneous materials and with varied applications. The race is now on for design principles and technologies to keep pace with this explosive new manufacturing market. Design for Additive Manufacturing responds to this demand for new design methods with a thorough and cutting-edge overview. Beginning with fundamental principles of additive manufacturing, the book analyzes how decisions made at the design stage will impact the final product, before building out a comprehensive framework for understanding the interplay between additive manufacturing and design. The result is a must-have resource for students, researchers, and industry professionals alike. Design for Additive Manufacturing readers will also find: Tools for quickly identifying the most suitable design approach by which to incorporate additive manufacturing into a given project Detailed coverage of the latest trends in design for additive manufacturing, including data-driven design Examples and case studies highlighting different AM design methods Design for Additive Manufacturing is ideal for students and instructors in additive manufacturing courses, as well as mechanical engineers, designers, and researchers working with additive manufacturing elements. …

Taschenbuch. Condizione: Neu. Machine Learning for Vision-Based Motion Analysis | Theory and Techniques | Liang Wang (u. a.) | Taschenbuch | Advances in Computer Vision and Pattern Recognition | xiv | Englisch | 2013 | Springer | EAN 9781447126072 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Condizione: New. pp. 388.