The Best Computer Vision & Pattern Recognition Books 2024

1. Introductory Techniques for 3-D Computer Vision [Hardcover - Used]

CONDITION - USED - Pages can include limited notes and highlighting, and the copy can include "From the library of" labels or previous owner inscriptions. Accessories such as CD, codes, toys, may not be included. 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.

Introductory Techniques for 3-D Computer Vision, Used [Hardcover]

2. Machine Vision, Used [Hardcover]

Providing all the necessary theoretical tools, this comprehensive introduction to machine vision shows how these tools are applied in actual image processing and machine vision systems. A key feature is the inclusion of many programming exercises giving insights into the development of practical image processing algorithms. A CD-ROM containing software and data used in these exercises is also included. Aimed at graduate students in electrical engineering, computer science, and mathematics, the book will be a useful reference for professionals as well.

Machine Vision, Used [Hardcover]

3. Computer Vision: Algorithms and Applications, Used [Hardcover]

Computer Vision: Algorithms and Applications explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos. More than just a source of "recipes," this exceptionally authoritative and comprehensive textbook/reference also takes a scientific approach to basic vision problems, formulating physical models of the imaging process before inverting them to produce descriptions of a scene. These problems are also analyzed using statistical models and solved using rigorous engineering techniques. Topics and features: structured to support active curricula and project-oriented courses, with tips in the Introduction for using the book in a variety of customized courses; presents exercises at the end of each chapter with a heavy emphasis on testing algorithms and containing numerous suggestions for small mid-term projects; provides additional material and more detailed mathematical topics in the Appendices, which cover linear algebra, numerical techniques, and Bayesian estimation theory; suggests additional reading at the end of each chapter, including the latest research in each sub-field, in addition to a full Bibliography at the end of the book; supplies supplementary course material for students at the associated website, http://szeliski.org/Book/. Suitable for an upper-level undergraduate or graduate-level course in computer science or engineering, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries. Its design and exposition also make it eminently suitable as a unique reference to the fundamental techniques and current research literature in computer vision.

Computer Vision: Algorithms and Applications, Used [Hardcover]

4. Visualization in Scientific Computing, Used [Hardcover]

Articles from the August 1989 special issue of Computing magazine, plus some articles written for the issue but not included. Introduces scientists, engineers, and students to scientific computer visual representations of data. The introductory section includes survey articles and an annotated bibli

Visualization in Scientific Computing, Used [Hardcover]

5. Making Things See: 3D Vision with Kinect, Processing, Arduino, and Makerbot [Paperback - Used]

CONDITION - USED - Pages can include limited notes and highlighting, and the copy can include "From the library of" labels or previous owner inscriptions. Accessories such as CD, codes, toys, may not be included. This detailed, hands-on guide provides the technical and conceptual information you need to build cool applications with Microsoft's Kinect, the amazing motion-sensing device that enables computers to see. Through half a dozen meaty projects, you'll learn how to create gestural interfaces for software, use motion capture for easy 3D character animation, 3D scanning for custom fabrication, and many other applications. Perfect for hobbyists, makers, artists, and gamers, Making Things See shows you how to build every project with inexpensive off-the-shelf components, including the open source Processing programming language and the Arduino microcontroller. You'll learn basic skills that will enable you to pursue your own creative applications with Kinect. Create Kinect applications on Mac OS X, Windows, or Linux Track people with pose detection and skeletonization, and use blob tracking to detect objects Analyze and manipulate point clouds Make models for design and fabrication, using 3D scanning technology Use MakerBot, RepRap, or Shapeways to print 3D objects Delve into motion tracking for animation and games Build a simple robot arm that can imitate your arm movements Discover how skilled artists have used Kinect to build fascinating projects

Making Things See : 3D Vision with Kinect, Processing, Arduino, and MakerBot, Used [Paperback]

6. Cognizers: Neural Networks and Machines that Think (Wiley Science Editions), Used [Hardcover]

One of the most dramatic developments in computer science has been the effort to create machines that duplicate the neurotransmitter biology of the human brain. Describing for the general reader how human neural networks work, the authors explain how this cutting-edge technology could be the breakthrough that makes artificial intelligence a reality. The approach combines history and hard science with exhaustive research, all presented in an engaging, lively writing style.

Cognizers : Neural Networks and Machines That Think, Used [Hardcover]

7. Perceptrons : An Introduction to Computational Geometry, Used [Paperback]

Perceptrons -- the first systematic study of parallelism in computation -- has remained a classical work on threshold automata networks for nearly two decades. It marked a historical turn in artificial intelligence, and it is required reading for anyone who wants to understand the connectionist counterrevolution that is going on today. Artificial-intelligence research, which for a time concentrated on the programming of Von Neumann computers, is swinging back to the idea that intelligence might emerge from the activity of networks of neuronlike entities. Minsky and Papert's book was the first example of a mathematical analysis carried far enough to show the exact limitations of a class of computing machines that could seriously be considered as models of the brain. Now the new developments in mathematical tools, the recent interest of physicists in the theory of disordered matter, the new insights into and psychological models of how the brain works, and the evolution of fast computers that can simulate networks of automata have given Perceptrons new importance. Witnessing the swing of the intellectual pendulum, Minsky and Papert have added a new chapter in which they discuss the current state of parallel computers, review developments since the appearance of the 1972 edition, and identify new research directions related to connectionism. They note a central theoretical challenge facing connectionism: the challenge to reach a deeper understanding of how "objects" or "agents" with individuality can emerge in a network. Progress in this area would link connectionism with what the authors have called "society theories of mind."

Perceptrons : An Introduction to Computational Geometry, Used [Paperback]

8. Pattern Recognition, Second Edition [Hardcover - Used]

CONDITION - USED - Pages can include limited notes and highlighting, and the copy can include "From the library of" labels or previous owner inscriptions. Accessories such as CD, codes, toys, may not be included. *Approaches pattern recognition from the designer's point of view*New edition highlights latest developments in this growing field, including independent components and support vector machines, not available elsewhere*Supplemented by computer examples selected from applications of interestPattern recognition is a scientific discipline that is becoming increasingly important in the age of automation and information handling and retrieval. This volume's unifying treatment covers the entire spectrum of pattern recognition applications, from image analysis to speech recognition and communications. This book presents cutting-edge material on neural networks, - a set of linked microprocessors that can form associations and uses pattern recognition to "learn". A direct result of more than 10 years of teaching experience, the text was developed by the authors through use in their own classrooms.

Pattern Recognition, Second Edition [Hardcover - Used]

9. Advances in Pattern Recognition: Joint Iapr International Workshops, Sspr'98 and Spr'98, Sydney, Australia, August 11-13, 1998, Proceedings [Paperback - Used]

CONDITION - USED - Pages can include limited notes and highlighting, and the copy can include "From the library of" labels or previous owner inscriptions. Accessories such as CD, codes, toys, may not be included. This work constitutes the refereed proceedings of the two IAPR International Workshops on Structural and Syntactic Pattern Recognition and on Statistical Techniques in Pattern Recognition, SSPR '98 and SPR '98, held in Sydney, Australia, August 1998.

Advances in Pattern Recognition : Joint IAPR International Workshops, SSPR '98 and SPR '98, Sydney, Australia, August 11-13, 1998 Proceedings, Used [Paperback]

10. Introduction to Pattern Recognition : A MATLAB? Approach, Used [Paperback]

Introduction to Pattern Recognition: A Matlab Approach is an accompanying manual to Theodoridis/Koutroumbas' Pattern Recognition. It includes Matlab code of the most common methods and algorithms in the book, together with a descriptive summary and solved examples, and including real-life data sets in imaging and audio recognition. This text is designed for electronic engineering, computer science, computer engineering, biomedical engineering and applied mathematics students taking graduate courses on pattern recognition and machine learning as well as R&D engineers and university researchers in image and signal processing/analyisis, and computer vision.

Introduction to Pattern Recognition : A MATLAB? Approach, Used [Paperback]