Stock photo: cover may vary
Computer Vision: Principles, Algorithms, Applications, Learning Hardback - 2017
by E. R. Davies
- Used
- Hardback
A$63.53
A$187.69
Delivery to USA
Standard delivery: 20 to 30 days
More delivery options
Standard delivery: 20 to 30 days
Dropship order
Ships from Gigliotti (United Kingdom)
Details
- Title Computer Vision: Principles, Algorithms, Applications, Learning
- Author E. R. Davies
- Binding Hardback
- Condition New
- Pages 900
- Volumes 1
- Language ENG
- Publisher Academic Press
- Publication date 2017
- Illustrated Yes
- Features Bibliography, Illustrated, Index
- Bookseller's Inventory # SKU209599
- ISBN 9780128092842 / 012809284X
- Weight 4.4 lbs (2.00 kg)
- Dimensions 9.4 x 7.6 x 1.9 in (23.88 x 19.30 x 4.83 cm)
- Category Computers - Other Applications
- Library of Congress subjects Computer vision, Information visualization
- Library of Congress Catalogue Number 2018304667
- Quantity available 1
About Gigliotti United Kingdom
Biblio member since 2025
All books are carefully selected for quality and are as described on Biblio. We ship daily
We all want our customers to have the best shopping experience.We will extra charge additional international shipping insurance for orders shipped to the United Kingdom.
30 day return guarantee, with full refund including original shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.
We will extra charge additional international shipping insurance for orders shipped to the United Kingdom.
Reader reviews for Computer Vision: Principles, Algorithms, Applications, Learning
Write a review for this book
Important Terms and Guidelines
- Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
- Reviews must be at least 140 characters in length.
- Please do not reveal critical plot elements.
- This is not a help line. Contact customer support if you need help.
Your review must not include:
- Obscenities, discriminatory language, or other insulting language not suitable for public domain
- Advertisements, “spam” content, or references to other products, offers or websites.
- Email addresses, URLs, phone numbers, physical addresses or other contact information.
- Overly critical comments about other reviews or reviewers
- Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
- Availability, price, or alternative ordering/shipping information
