Overview
- Presents the state-of-the-art research in tensor signal processing with applications to computer vision and image processing, to provide an invaluable resource for readers in the field
Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)
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About this book
Tensor signal processing is an emerging field with important applications to computer vision and image processing.
This book presents the state of the art in this new branch of signal processing, offering a great deal of research and discussions by leading experts in the area. The wide-ranging volume offers an overview into cutting-edge research into the newest tensor processing techniques and their application to different domains related to computer vision and image processing.
This comprehensive text will prove to be an invaluable reference and resource for researchers, practitioners and advanced students working in the area of computer vision and image processing.
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Keywords
Table of contents (22 chapters)
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A Review of Tensors and Tensor Signal Processing
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Tensors and Tensor Field Processing
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Tensors in Image Processing
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Diffusion Tensor Imaging and Medical Applications
Editors and Affiliations
Bibliographic Information
Book Title: Tensors in Image Processing and Computer Vision
Editors: Santiago Aja-Fernández, Rodrigo Luis García, Dacheng Tao, Xuelong Li
Series Title: Advances in Computer Vision and Pattern Recognition
DOI: https://doi.org/10.1007/978-1-84882-299-3
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2009
Hardcover ISBN: 978-1-84882-298-6Published: 27 May 2009
Softcover ISBN: 978-1-4471-6876-8Published: 23 August 2016
eBook ISBN: 978-1-84882-299-3Published: 21 May 2009
Series ISSN: 2191-6586
Series E-ISSN: 2191-6594
Edition Number: 1
Number of Pages: IX, 470
Topics: Image Processing and Computer Vision, Computer Imaging, Vision, Pattern Recognition and Graphics