Introductory Techniques for 3-D Computer Vision
| Author | : | |
| Rating | : | 4.78 (912 Votes) |
| Asin | : | 0132611082 |
| Format Type | : | paperback |
| Number of Pages | : | 343 Pages |
| Publish Date | : | 2014-03-26 |
| Language | : | English |
DESCRIPTION:
Each chapter concentrates on a specific problem and solves it by building on previous results.FEATURES:Provides a guide to well-tested theory and algorithms including solutions of problems encountered in modern computer vision.Contains many practical hints highlighted in the book.Develops two parallel tracks in the presentation, showing how fundamental problems are solved using both intensity and range images, the most popular types of images used today.Each chapter contains notes on the literature, review questions, numerical exercises, and projects.Provides an Internet list for accessing links to test images, demos, archives and additional learning material.. From the Back CoverAn applied introduction to modern computer vision, focusing on a set of computational techniques for 3-D imaging, this book covers a wide range of fundamental problems encountered
Esfandiar Bandari said One of the best books on the topic. This is a very precise and well organized books. Every chapter is well justified and moreover each chapter contains relevant algorithms and psuedocode to address the problems discussed. This makes the book particularly practical and useful. Topics discussed follow each other naturally and the authors have done a great job of covering the topics conisely without going overboard.. "Excellent intermediate textbook on Computer Vision" according to calvinnme. If you already understand image processing and the basics of computer vision, this book is a very good at concisely presenting more advanced algorithms to the reader. Also, because this book is so well organized, you can read it from beginning to end. Rest assured if you are looking at an algorithm on page 8Excellent intermediate textbook on Computer Vision calvinnme If you already understand image processing and the basics of computer vision, this book is a very good at concisely presenting more advanced algorithms to the reader. Also, because this book is so well organized, you can read it from beginning to end. Rest assured if you are looking at an algorithm on page 84, you will not need to skip ahead to later sections in the book to understand it. From the beginning, algorithms are named. , you will not need to skip ahead to later sections in the book to understand it. From the beginning, algorithms are named. The best textbook for computer vision This is the best textbook for computer vision I've ever met. Compared with Forsyth and Ponce's heavy book titled with "computer vision: a modern approach", this book is very concise, precise, and suitable to be used in classes. Definitions are carefully given. Pseudocode is extremely helpful for practical use. Also some sections about mathematics are appreciated to understand the underlying algorithms. If you want to learn more
Each chapter concentrates on a specific problem and solves it by building on previous results.. Senior/Graduate level courses on computer vision, robot vision and image processing in electrical and computer engineering, mathematics, and computer science departments, and an essential reference for researchers and scientists in the field of computer vision. An applied introduction to modern computer vision, focusing on a set of computational techniques for 3-D imaging. Covers a wide range of fundamental problems encountered within computer vision and provides detailed algorithmic and theoretical solutions for each