Concise Computer Vision: An Introduction into Theory and Algorithms (Undergraduate Topics in Computer Science)

I took a computer vision class using Szeliski's book,I was NOT satisfied to the book, so I searched around to find another textbook for learning & reference.There are some other books in computer vision.Szeliski...........: A magazine, NOT a textbook.Forsyth & Ponce: A famous mess. Don't buy it.Prince.............: Great book. geared toward recognition.Davies............: Great book. geared toward image processingShapiro...........: Used to be Excellent intro-level book. Too outdated now.Finally, I found this book.This is probably the only textbook available in the market.The topics are carefully selected, so that the book covers all essential topics in equally balanced manner.The explanation is very clear in most parts.Excellent intro-level book for learning & reference.------------------------------------------P.S. changed my review on Prince's and Davies' book.

It is a great book on a difficult topic. It covers all the main topics an undergrad course in vision would cover. Provides insight and detailed descriptions of classical and modern methods. I really liked the detailed overview on Viola's method, and a great explanation on Adaboost.

This book is a wonderful introduction to the basic topics of computer vision and image processing. Many eye catching images and well drawn figures make it exciting and easy to understand the theory behind many important topics in this field.

The text book is probably excellent but the kindle edition is difficult to read. It is unfortunate that many mathematic formula don't scale up on the screen and show in very small fonts. Given the nature of the topic the exposé very difficult to follow unless you have exceptional eyesight.

I have been teaching computer vision for the past 2 years. There was definitely a dire need for an undergraduate textbook for computer vision. Existing books are more research oriented and not that suitable for classroom use. This book has contents which are succinctly explained and the breadth of topics covered is amazing. This book would best serve the purpose for a first course in computer vision. The important feature I liked about this book is the coverage of state-of-the-art algorithms in computer vision without compromising on the lucidity. I reckon this book would be adopted for various computer vision courses in near future. I also plan to adopt this book for my next offering of computer vision.

Llego al segundo día de encargo y sin ningún defecto.

Super conciso. Rapido y facil de entendrr