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{ "item_title" : "3-D Computer Vision", "item_author" : [" Yu-Jin Zhang "], "item_description" : "This textbook offers advanced content on computer vision (basic content can be found in its prerequisite textbook, 2D Computer Vision: Principles, Algorithms and Applications), including the basic principles, typical methods and practical techniques. It is intended for graduate courses on related topics, e.g. Computer Vision, 3-D Computer Vision, Graphics, Artificial Intelligence, etc. The book is mainly based on my lecture notes for several undergraduate and graduate classes I have offered over the past several years, while a number of topics stem from my research publications co-authored with my students. This book takes into account the needs of learners with various professional backgrounds, as well as those of self-learners. Furthermore, it can be used as a reference guide for practitioners and professionals in related fields. To aid in comprehension, the book includes a wealth of self-test questions (with hints and answers). On the one hand, these questions help teachers to carry out online teaching and interact with students during lectures; on the other, self-learners can use them to assess whether they have grasped the key content. ", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/81/197/582/9811975825_b.jpg", "price_data" : { "retail_price" : "64.99", "online_price" : "64.99", "our_price" : "64.99", "club_price" : "64.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
3-D Computer Vision|Yu-Jin Zhang

3-D Computer Vision : Principles, Algorithms and Applications

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Overview

This textbook offers advanced content on computer vision (basic content can be found in its prerequisite textbook, "2D Computer Vision: Principles, Algorithms and Applications"), including the basic principles, typical methods and practical techniques. It is intended for graduate courses on related topics, e.g. Computer Vision, 3-D Computer Vision, Graphics, Artificial Intelligence, etc.

The book is mainly based on my lecture notes for several undergraduate and graduate classes I have offered over the past several years, while a number of topics stem from my research publications co-authored with my students. This book takes into account the needs of learners with various professional backgrounds, as well as those of self-learners. Furthermore, it can be used as a reference guide for practitioners and professionals in related fields.

To aid in comprehension, the book includes a wealth of self-test questions (with hints and answers). On the one hand, these questions help teachers to carry out online teaching and interact with students during lectures; on the other, self-learners can use them to assess whether they have grasped the key content.

This item is Non-Returnable

Details

  • ISBN-13: 9789811975820
  • ISBN-10: 9811975825
  • Publisher: Springer
  • Publish Date: February 2024
  • Dimensions: 9.21 x 6.14 x 0.94 inches
  • Shipping Weight: 1.42 pounds
  • Page Count: 448

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