Reviews (1)

New Text on Pattern Recognition/Machine Learning
I have been working in the field of signal processing and speech for more
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Subjects:  1. Artificial Intelligence - General    2. Computer Books: General    3. Computer Vision    4. Computers    5. Computers - General Information    6. Artificial intelligence    7. Computers / Computer Vision    8. Computing and Information Technology   

Reviews (2)

complete text
Interesting and rather complete introduction to machine vision and provides enough information for implementation of practical algorithms. It covers many of the theories useful for information extraction.

Machine Vision
This book has a thorough discussion of the topics of computer vision.It starts with the basic elements of computer images and eventually explains stereo images and 3-dimensionality.Read more

Subjects:  1. Computer Engineering    2. Computer Vision    3. Computers    4. Computers - General Information    5. Engineering - Electrical & Electronic    6. Science/Mathematics    7. Technology / Engineering / Electrical   

Reviews (8)

An unusually clear book -- and great for OCR researchers.
This nifty book is unusual in several respects: it is written in an extremely clear and simple style; it presents good clear code, both in print and on the accompanying CD; and it presents a variety of different methods for achieving each given goal. For example, the book presents a half-dozen different algorithms (usually with code) for edge-detection, for thresholding, and for skeletonization. For the most part, the book does a good job of explaining the relative merits or suitabilities of the different algorithms.
Outstanding source of implementations of image processing algorithms
This book is a great source of code for the implementations of common and not so common algorithms used in image processing and computer vision. It is not meant to be a textbook on either subject. For that I suggest you turn to "Digital Image Processing" by Gonzalez and Woods for the subject of image processing and to "Computer Vision" by Linda Shapiro for computer vision.
I like this book
It has source C code available, which I found is very helpful. It would be better if its code is written in C++. ... Read more

Subjects:  1. Algorithms (Computer Programming)    2. Computer Graphics - General    3. Computer algorithms    4. Computer vision    5. Digital techniques    6. Discrete Mathematics    7. Image Processing (Engineering)    8. Image processing    9. Imaging Systems    10. Optics    11. Technology    12. Technology & Industrial Arts    13. Computers / Computer Vision    14. Mathematical theory of computation    15. Signal processing   

Reviews (3)

Good presentation of both beginning and advanced material
Of the several computer vision textbooks that I haved owned and read, this book provides the best combination of introductory techniques with more advanced material in a very readable style.
Best Intro. Text I've Used
This text is excellent as the basis for an introduction to CV, it treats a wide variety of topics in a clear and accessible manner. I particularly appreciated the books coverage of topics which aren't traditionally considered to be CV topics (like classification and some material on probabilistic inference). Highly recommended.

Excellent introduction guide
The book presents a nice complement to Image Processing, Analysis and Machine Vision (Image Processing, Analysis, and Machine Vision, 2nd ed., M. Sonka, V. Hlavac, and R. Boyle, 1998, IPAMV). As the difference in names implies, Computer Vision is not appropriate as an image processing textbook. It contains sufficient information on image processing to implement computer vision algorithms, but the focus of the book is on image analysis and high-level vision. The result is that the combination of IPAMV and Computer Vision cover the spectrum from intensive image processing and manipulation to high level analysis, object recognition and content-based image retrieval.Read more

Subjects:  1. Computer Graphics - General    2. Computer Vision    3. Computers - General Information    4. Engineering - Electrical & Electronic    5. Reference    6. Science/Mathematics    7. Signal Processing (Communication Engineering)    8. Technology    9. Technology / Robotics   

Reviews (2)

Excellent Resource
This book is an excellent resource and covers all topics in a sufficient and easy to read manner and definitely covers all the "elements".Anyone that is interested in Photogrammetry will find this book quite useful.

Book Review: Elements of Phtogrammetry
This book is substantially revised from the previous edition in 1983, some 17 years ago. Consequently, new topics are added, particularly on GIS and digital photogrammetry. The appendixes on least squares adjustment, co-ordinate transformations, collinearity equations and digital resampling are particularly useful.Read more

Subjects:  1. Aerial photogrammetry    2. Digital techniques    3. Earth Sciences - Geography    4. Engineering - Civil    5. Holographic Art    6. Image processing    7. Information Systems (Geography)    8. Photo Techniques    9. Photogrammetry    10. Remote sensing    11. Science    12. Science/Mathematics    13. Surveying    14. Technology    15. Computer vision    16. Technology / Surveying   

Reviews (16)

Computer vision
I think this book is the most complete computer vision arguments. In fact it start to speaks from radiometry to steriovision passing by filter uses!!
A good up-to-date reference. Not for self teaching.
First of all, I got a 2003 reprint, and somehow, every single fraction bar (the division sign) is missing in the math expressions for the entire book! Very annoying. I had expected more from Prentice Hall.
Not a good book to begin with
The book fails to explain simple concepts in a clear way. Trying other literature such as 'Shapiro and Stockman's' book is enough to convince yourself that the same concepts can be explained clearly without losing insight. ... Read more

Subjects:  1. Artificial Intelligence - General    2. Computer Books: General    3. Computer Vision    4. Computers    5. Computers - Other Applications    6. Problems, exercises, etc    7. Technology / Robotics   

Reviews (11)

Extra-ordinary book on Computer Vision!
I didn't know or hear about this book till one fine morning when I went to our IIT library looking for some good book on computer vision to supplement the knowledge imparted by Horn's book. I found this book and it contained most of the concepts covered thus far in my lectures. Still I was not convinced about the credibility of this book. Somehow, I started grazing through this book in leisure hours.
Some nice intuitions
In my humble opinion, mathematics is best explained through intuitions which motivate the rigor.That is, a general, high level, overall understanding of a particular problem and the "theory" behind a solution must be presented before a rigorious algebraic analysis.The particular mathematics should then read like a novel.In this sense, Trucco and Verri succeed, at various parts throughout the text, but certainly fail at others.I would say 4/5th's of the text is well written, and hence the 4 star review.

Excellent intermediate textbook on Computer Vision
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 and presented in numbered steps for clarity of presentation. The book starts out with introductory material such as basic optics and the geometry of camera models. It continues with image denoising, as well as two full chapters devoted to image features and their detection. Finally, the more basic material concludes with a chapter on the mathematics of camera calibration. One aspect of vision that is often neglected in other computer vision books that is treated well here is that of motion. For those working in video processing, this might make this book a good selection. Also, the book gives one of the best discussions of eigenspaces that I have seen in print in chapter ten of the book, where the subject is recognition of 3D objects. I was able to code up the eigenfaces face recognition algorithm based almost entirely on the information found in chapter ten of this book. If you need an introduction to computer vision before tackling the more advanced material in this text, try Shapiro's book "Computer Vision" ISBN 0130307963. A good knowledge of linear algebra is necessary prior to understanding the algorithms in this book such as is found in Schaum's outline of Matrix Operations. Given the specific subject matter of this book, it would probably be an excellent choice for an engineer or scientist that is interested in computer vision as it relates to robotics. ... Read more

Subjects:  1. Computer Books: General    2. Computer Graphics - General    3. Computer Vision    4. Computers    5. Computers - General Information    6. Digital techniques    7. Engineering - Electrical & Electronic    8. Image processing    9. Imaging Systems    10. Microcomputer Graphics    11. Three-dimensional display syst    12. Three-dimensional display systems    13. Technology / Engineering / Electrical   

Reviews (18)

Needs a second volume which explains the first
This book is by now an accepted classic in the field.It is basically the only textbook that covers so much of computational linguistics, so I have had no choice but to use it for the past several years.Just the same, I'd rather not use it for teaching linguistics students.While the book has much to offer the professional, including a broad range of topics extensively researched, it is much more useful in this "handbook" capacity than as a textbook for the uninitiated.The chief reasons for this are: 1) It is pedagogically very poor; the majority of concepts are either explained in a confusing and obfuscatory manner or are not explained and are simply left in algorithmic form.This is not usually edifying to the linguistics student with no computer science background.2) There are too many mistakes in its algorithms and method overviews.So far as I can see, even the famed Earley parsing algorithm is wrong here, it will not yield the correct output.3) It is not written in a language that linguistics students can understand.With no background in mathematics, computer science, or pseudocode, such students need much more coddling than is provided by this book, and they are virtually unable to read it.Basically, as the title to this review states, what is called for now is a book to explain the contents of this book.Perhaps if my students keep encouraging me to write it. . .
I looked for
something which I can use - I am a linguist - and found it immensly readable and useful

The a good introduction to NLP, but could be improved
This book helped me accomplish what I set out to do; namely to obtain an overview of the field of natural language processing, with an emphasis on language understanding (as opposed to recognition). And I can recommend it on that level. The weakness of the book however is that it left me asking, "OK, now what?". The book started off strong with a number of dynamic-programming algorithms, finite automaton models, and N-grams that one could sink his/her teeth into from an algorithmic point-of-view. But when it came to actual techniques for natural-language understanding (chapters 14-17) the goods were not delivered. The algorithms disappeared, and the best I could find was in Chapter 15 an incomplete, and unconvincing treatment of Hiyan Alshawi's semantic parsing techniques which fueled the Core Language Engine last decade. Chapter 16 dealt with lexical semantics and was almost entirely devoid of algorithms. Read more

Subjects:  1. Artificial Intelligence - General    2. Automatic speech recognition    3. Computational Linguistics    4. Computer Books: General    5. Computer Vision    6. Language Arts & Disciplines    7. Language Arts / Linguistics / Literacy    8. Linguistics    9. Audio processing: speech recognition & synthesis    10. Computers / Computer Vision    11. Machine learning    12. Natural language & machine translation   

Reviews (2)

Numerical Geometry of Images
A very well-written, interesting and useful book covering a wide range of topics in image processing and computer vision and beyond. A good balance between theory and implementation issues that make the things work. A 100% recommendation to students and specialists in the field.
Some additional info.
The book is an extended version of my lecture notes. Including
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Subjects:  1. Data processing    2. Geometry - General    3. Geometry, Differential    4. Mathematics    5. Science/Mathematics    6. Algorithms & procedures    7. Applied mathematics    8. Computer vision    9. Computers / Computer Graphics / General    10. Image processing   

Subjects:  1. Computer Vision    2. Computers    3. Computers - General Information    4. Engineering - Industrial    5. Manufacturing    6. Science/Mathematics    7. Applied optics    8. Automatic control engineering    9. Technology / Manufacturing   

Subjects:  1. Computer Bks - General Information    2. Computer Books: General    3. Computer Graphics - General    4. Computer Vision    5. Computers    6. Computers - General Information    7. Geometry    8. Geometry - General    9. Image processing    10. Mathematics    11. Science/Mathematics    12. Computers / Computer Graphics / General    13. Computers / Computer Vision    14. Mathematics-Geometry - General   

Reviews (2)

Combined collection of science papers
After all this book seems to be just a combination of the science papers of Steve Mann. Those papers are great no offense but i had expected the book to be a bit more "readable". It has some additional content compared to the plain papers so its not senseless to buy it, if you have the money for it.
This book is the WORST book I have read in years...
Well, Before reading my comments take a look at the book itself....Read more

Subjects:  1. Artificial Intelligence    2. Artificial Intelligence - General    3. Computational intelligence    4. Computers    5. Data Transmission Systems - General    6. Digital Image Processing    7. Image processing    8. Imaging Systems    9. Science/Mathematics    10. Technology & Industrial Arts    11. Computer vision    12. Computers / General    13. Image processing: video   

Reviews (3)

Good 3-D vision book with emphasis on applications
I really liked this book. However, I use it for vision issues as they relate to robotics rather than as an introductory text on 3D vision. If a general or introductory textbook on 3D computer vision is what you desire, then you might be better off with "Multiple View Geometry in Computer Vision" by Hartley or my personal favorite, "Introductory Techniques for 3-D Computer Vision" by Trucco and Verri. For individuals studying robotic vision, many parts of this book are useful not only for characterizing vision, but for putting together algorithms and equations that are useful for describing robotic motion in general. For example, chapter two of the book collects equations and algorithms that are very useful in describing forward kinematics. Chapters five through ten cover all of the considerations and algorithms needed to produce a 3D image from a collection of images taken from different viewpoints. Chapter eleven applies this knowledge with sequential instructions on building a 3D image from a group of images. Chapter twelve has a second application that shows how to perform autonomous control of a moving vehicle via video feedback. The appendices have some very good information on linear algebra as it relates to computer vision as well as details on the Kalman filter, which is also of great interest to those of us who are interested in computational robotics. Algorithms are blocked out and explained in logical steps throughout the book, and it also has very good exercises at the end of each chapter as well as short examples throughout each chapter, although the notation can sometimes be a little confusing. I would therefore recommend this book especially to those readers who are interested in merging their knowledge of robotics with their knowledge of basic computer vision into creating sophisticated applications. However, this book is by no means an introduction to computer vision. The table of contents is as follows:
A Poor Rewrite of the book: Multiple View Geometry, by Hartley & Zisserman
This is a poor rewrite of a much better book, Multiple View Geometry in Computer Vision, by Hartley & Zisserman.It fails to clarify any of the more difficult concepts presented by Hartley & Zisserman and is far less complete in the treatment of the subject matter.I can not recommend this book when a better written, more thorough treatment is already available from Hartley & Zisserman.

a must-have book for computer vision students & researchers
The authors do an outstanding job of balancing theory and practice in this book.In particular, Ch. 11 (Step-by-Step Building of a 3-D Model from Images) is a gem.The new student of computer vision that finds Structure from Motion (SFM) daunting should read this chapter first to build motivation by means of seeing concrete examples.Read more

Subjects:  1. Applied    2. Computer Graphics - General    3. Computer Science    4. Computer Vision    5. Computer graphics    6. Computers - General Information    7. Geometry - General    8. Mathematics    9. Science/Mathematics    10. Three-dimensional display syst    11. Three-dimensional display systems    12. Calculus of variations    13. Geometry    14. Mathematical theory of computation    15. Mathematics / Applied   

Subjects:  1. Applied    2. Artificial Intelligence - General    3. Computer Books: General    4. Computer Graphics - General    5. Computer Science    6. Computers    7. Mathematics    8. Bayesian Methods    9. Computer vision    10. Embedded Methods    11. Feature Extraction    12. Filter Methods    13. Mathematics / Applied   

Subjects:  1. Artificial Intelligence - General    2. Automation    3. Computer Vision    4. Control systems    5. Engineering - Mechanical    6. General    7. Medical / Nursing    8. Robot vision    9. Robotics    10. Robots    11. Science/Mathematics    12. Technology    13. Computers / Computer Graphics / General    14. Image processing: graphics (static images)    15. algorithmic learning    16. autonomous agents    17. camera-equiped robots    18. cognitive systems    19. intelligent agents    20. machine learning    21. mobile robots    22. object recognition    23. robot navigation    24. robust control   

Reviews (8)

Real World Instructions for Maya Users
I had long wanted to begin the process of learning Maya, but was intimidated every time I opened the damned program.John Park's book allowed me to grow past that fear and build a strong foundation in understanding the program.His instructions are easy to follow and his exercises (included on an accompanying CD) provide real world experiences for learning Maya's basics.Additionally, it is a well-rounded instruction manual that teaches about many aspects of the program (instead of a few particulars).Please buy this book, so Mr. Park is encouraged to release additional manuals!
If you get one book on Maya, this is it.
Park's book is exceptional because it has a simple, easy to follow tutorial format that has you modeling, shading, animating and rendering all in the first chapter. Each chapter builds on the last expanding the skills together as an integrated group. Maya is an awsome program that is fun work with, but its shear size can make it overwhelming for a beginner. Because of this most books either specialize in only one aspect of it, or serve as a general pictorial menu of what you can do but don't adequately tell you how. Park's book stays at just the right level so you feel excited rather than overwhelmed, and by the end you have developed a working knowledge of all the major menu sets, and you have completed a rather sophisticated animation. You can then move on to any other Maya book with confidence, or just continue working with the knowledge you've gained. You don't even have to buy Maya. It comes with a copy of Maya Personal Learning Edition on the tutorial CD.

Finally a book with real instructional focus!

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Subjects:  1. Computer Animation    2. Computer Books: General    3. Computer Graphics - General    4. Computer Vision    5. Computers    6. General    7. Maya (Computer file)    8. Three-dimensional display syst    9. Three-dimensional display systems    10. Unassigned Title    11. Computer graphics software    12. Computers / Computer Graphics / General   

Subjects:  1. Algebra - Linear    2. Algebraic Geometry    3. Artificial Intelligence - General    4. Clifford algebras    5. Computer Vision    6. Computers - General Information    7. Geometry - Algebraic    8. Group Theory    9. Industrial applications    10. Mathematics    11. Science/Mathematics    12. Algebraic Expressions    13. Computational Geometry    14. Computers / Computer Graphics / General    15. Geometric Computing    16. Geometric Languages    17. Image processing    18. Linear algebra    19. Neural Computation    20. Robotics    21. Signal Processing   

Subjects:  1. Art    2. Computer Graphics - Design    3. Computer Vision    4. Computer graphics    5. Design - General    6. Engineering - Electrical & Electronic    7. Information visualization    8. Technology & Industrial Arts    9. Computer modelling & simulation    10. Technology / Engineering / General   

Subjects:  1. Computer Books: General    2. Computer Graphics - General    3. Computer Science    4. Computer vision    5. Computers    6. Computers - Other Applications    7. Information Technology    8. Machine learning    9. Computers / Computer Graphics / General   

Subjects:  1. Artificial Intelligence - General    2. Computer Graphics - General    3. Computer Vision    4. Computers    5. Criminal Procedure    6. Data processing    7. Fingerprints    8. Forensic Science    9. Identification    10. Legal Reference / Law Profession    11. Sociology    12. Computers / Computer Vision    13. Pattern recognition    14. Privacy & data protection