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Computer Vision: Principles, Algorithms, Applications, Learning
物品 #: 57832100

Computer Vision: Principles, Algorithms, Applications, Learning

物品 #: 57832100

HKD 792

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產品詳情

Shop Computer Vision: Principles, Algorithms, Applications, Learning online at a best price in 香港. 012809284X
Publisher Academic Press
Publication date November 29, 2017
Edition 5th
Language English
Print length 900 pages
ISBN-10 012809284X
ISBN-13 978-0128092842
Item Weight 4.41 pounds (2 kg)
Dimensions 7.6 x 1.9 x 9.4 inches (19.3 x 4.8 x 23.9 cm)

產品敘述

Computer Vision: Principles, Algorithms, Applications, Learning

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Computer Vision & Pattern Recognition Editorial Review

### Editorial Review The 5th Edition of "Computer Vision: Principles, Algorithms, Applications, Learning" by Davies has been met with enthusiastic reception from its readers, signifying its relevance in a rapidly evolving field. Despite being published in 2018, many reviewers appreciate its surprisingly up-to-date content that reflects the latest advancements in computer vision over the past decade. The textbook covers a broad spectrum of topics, well-organized into sections that cater to different levels of expertise: Low Level, Intermediate Level, and Advanced. This structured approach allows instructors the flexibility to choose relevant topics based on their curriculum needs. Advanced sections delve into both shallow and deep machine learning, including discussions on Vision and Motion, making it a comprehensive resource for those looking to deepen their understanding of current methodologies. Readers commend the clarity of Davies' writing. While the book keeps the mathematical complexity to a minimum—which some may find advantageous for beginners—it does strike a balance by including enough detail to ensure readers can grasp the underlying theories. Many appreciate the inclusion of practical applications drawn from Davies' extensive industry experience, which helps to contextualize the theoretical aspects of the content. As a reference book, users find it both informative and convenient, yet it also provides a solid foundation for self-study, particularly for those with a modest background in mathematics. Overall, the feedback suggests that "Computer Vision" is an enriching resource for both learners and educators in the field, striking an effective balance between accessibility and depth. ### Pros and Cons **

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優點

  • Up-to-date content relevant to recent advancements in computer vision.
  • Comprehensive coverage with a structured organization of topics across different levels.
  • Clear and accessible writing style, suitable for beginners.
  • Balances theoretical understanding with practical applications.
  • Excellent as both a reference book and self-study material.

缺點

  • Mathematical content may be too minimal for some advanced courses.

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