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  • Computer Vision: Fundamentals and Applications

    Computer Vision by Mukhopadhyay, Jayanta; Mattur, Shashaank Aswatha;

    Fundamentals and Applications

      • GET 10% OFF

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      • Publisher's listprice GBP 75.00
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        35 831 Ft (34 125 Ft + 5% VAT)
      • Discount 10% (cc. 3 583 Ft off)
      • Discounted price 32 248 Ft (30 713 Ft + 5% VAT)

    35 831 Ft

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    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Publisher Cambridge University Press
    • Date of Publication 31 October 2025

    • ISBN 9781009330497
    • Binding Paperback
    • No. of pages800 pages
    • Size 240x180x40 mm
    • Weight 1170 g
    • Language English
    • 700

    Categories

    Short description:

    Comprehensive coverage of theory and applications of computer vision with a textbook approach providing numerical examples and exercises.

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    Long description:

    The textbook is primarily written for senior undergraduate and post graduate students studying in areas of computer science and engineering, and electrical engineering. However, as the subject covers various interdisciplinary areas, the book is also expected to be of interest to a larger readership in Science and Engineering. It has a comprehensive and balanced coverage of theory and applications of computer vision with a textbook approach providing worked out examples, and exercises. It covers theory and applications of some relatively recent advancements in technology such as on colour processing, deep learning techniques for processing images and videos, document processing, biometry, content based image retrieval, etc. It also delves with theories and processing in non-optical imaging systems, such as range or depth imaging, medical imaging and remote sensing imaging.

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    Table of Contents:

    Preface; Acknowledgements; Part I. Visual Information Processing: Chapter 1. Fundamentals of Image and Video Processing; Chapter 2. Alternate Representations of Images and Videos; Chapter 3. Color Processing; Chapter 4. Feature Detection, Matching and Model Fitting; Chapter 5. Visual Saliency and Cognitive Processing; Chapter 6. Clustering and Segmentation; Chapter 7. Classification; Chapter 8. Object Tracking; Chapter 9. Deep Visual Learning; Part II. Vision Geometry: Chapter 10. Two-dimensional Projective Geometry; Chapter 11. Single View Camera Geometry; Chapter 12. Stereo Vision; Part III. Non-Optical Vision: Chapter 13. Range Imaging; Chapter 14. Medical Imaging; Chapter 15. Remote Sensing; Part IV. Applications: Chapter 16. Document Processing; Chapter 17. Biometry; Chapter 18. Content Based Image Retrieval; Bibliography; Index.

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