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Rafael C. Gonzalez, Richard Eugene Woods
A comprehensive digital image processing book that reflects new trends in this field such as document image compression and data compression standards. The book includes a complete rewrite of image data compression, a new chapter on image analysis, and a new section on image morphology.
Richard Hartley, Andrew Zisserman
A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques for solving this problem are taken from projective geometry and photogrammetry. Here, the authors cover the geometric principles and their algebraic representation in terms of camera projection matrices, the fundamental matrix and the trifocal tensor. The theory and methods of computation of these entities are discussed with real examples, as is their use in the reconstruction of scenes from multiple images. The new edition features an extended introduction covering the key ideas in the book (which itself has been updated with additional examples and appendices) and significant new results which have appeared since the first edition. Comprehensive background material is provided, so readers familiar with linear algebra and basic numerical methods can understand the projective geometry and estimation algorithms presented, and implement the algorithms directly from the book.
Augmented reality takes the real world and through the use of graphics, sound and other effects allows you to enhance the environment. It makes a game more real. Your social media app puts you where want to be or go. Pro iOS 5 Augmented Reality walks you through the foundations of building an augmented reality application for the iPhone or iPad. From using MapKit, to the accelerometer and magnetometer, to integrating facial recognition and Facebook data, you'll learn the building blocks of creating augmented reality applications. Case studies are included in this one-of-a-kind book and you'll learn how to create augmented reality apps that unleash the full potential of the on-board sensors and camera. This book complements other iOS game or social media apps development books available from Apress. After reading Pro iOS 5 Augmented Reality, you'll be able to build augmented reality rich media apps or integrate all the best augmented reality techniques and tools into your existing apps. What you’ll learn The differences in hardware sensors, cameras and more between the iPhone 4 and iPhone 4S, iPod touch, iPad and iPad 2 How to use MapKit and integrate it into your app How to play and record sound within an augmented reality app How to use the iPhone or iPad camera and video How to program against the accelerometer and gyroscope to detect movement and the orientation of the iPhone or iPad How to access and use the information from the magnetometer (compass) How to use cocos2D to overlay a heads-up display on the camera view How to integrate facial recognition into your app How to build augmented reality feature-rich enterprise game and Facebook apps Who this book is for This book is for iOS developers familiar with iOS programming, but new to the camera, accelerometer, magnetometer and building augmented reality applications in general. Table of Contents Introduction Hardware Comparisons Location Services iOS Sensors Sound and User Feedback Camera and Video Using cocos2D for AR Building a cocos2D AR Game Third-party AR SDKs Building a Marker-based AR App Using OpenGL Building a Social AR App OpenCV and Facial Recognition Building a Facial-recognition AR App
This monograph by one of the world's leading vision researchers provides a thorough, mathematically rigorous exposition of a broad and vital area in computer vision: the problems and techniques related to three-dimensional (stereo) vision and motion. The emphasis is on using geometry to solve problems in stereo and motion, with examples from navigation and object recognition.Faugeras takes up such important problems in computer vision as projective geometry, camera calibration, edge detection, stereo vision (with many examples on real images), different kinds of representations and transformations (especially 3-D rotations), uncertainty and methods of addressing it, and object representation and recognition. His theoretical account is illustrated with the results of actual working programs.Three-Dimensional Computer Vision proposes solutions to problems arising from a specific robotics scenario in which a system must perceive and act. Moving about an unknown environment, the system has to avoid static and mobile obstacles, build models of objects and places in order to be able to recognize and locate them, and characterize its own motion and that of moving objects, by providing descriptions of the corresponding three-dimensional motions. The ideas generated, however, can be used indifferent settings, resulting in a general book on computer vision that reveals the fascinating relationship of three-dimensional geometry and the imaging process.Olivier Faugeras is Research Director of the Computer Vision and Robotics Laboratory at INRIA Sophia-Antipolis and a Professor of Applied Mathematics at the Ecole Polytechnique in Paris.