Image Processing, Computer Vision, and Pattern Recognition

Author:   Arabnia, Hamid R. ,  Deligiannidis, Leonidas ,  Tinetti, Fernando G.
Publisher:   C. S. R. E. A.
ISBN:  

9781601324856


Pages:   201
Publication Date:   21 March 2019
Format:   Paperback
Availability:   In stock   Availability explained
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Image Processing, Computer Vision, and Pattern Recognition


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Overview

This book contains the proceedings of the 2018 International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV'18). The broad area of Imaging Science is a field that is mainly concerned with the generation, collection, analysis, modification, and visualization of images. The field is multidisciplinary in that it includes topics that are traditionally covered in computer science, physics, mathematics, electrical engineering, AI, psychology and information theory where computer science acts as the topical bridge between all such diverse areas (for a formal definition of Imaging Science, refer to relevant wiki pages). From the computer science perspective, the core of Imaging Science includes the following three intertwined computer science fields, namely: Image Processing, Computer Vision, and Pattern Recognition. The conference covers the research trends in these three important areas.

Full Product Details

Author:   Arabnia, Hamid R. ,  Deligiannidis, Leonidas ,  Tinetti, Fernando G.
Publisher:   C. S. R. E. A.
Imprint:   C. S. R. E. A.
Dimensions:   Width: 20.30cm , Height: 1.30cm , Length: 27.90cm
Weight:   0.499kg
ISBN:  

9781601324856


ISBN 10:   1601324855
Pages:   201
Publication Date:   21 March 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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Hamid R. Arabnia is Professor, Computer Science; Editor-in-Chief, The Journal of Supercomputing (Springer); Elected Fellow, Int'l Society of Intelligent Biological Medicine (ISIBM); The University of Georgia, Department of Computer Science.

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