Multiple View Geometry in Computer Vision

eBook Information

Multiple View Geometry in Computer Vision ISBN  0521540518 Release Date  19 April 2004 Category  Computer Vision Tags  geometry,   vision,   multiple view geometry,   multiple view,   geome,   zisserman,   0521540518,   "computer vision",   multiple,   computer vision,   multiple geometry in stereo vision,   geo,   geomet,   machine vision,   visio,   "multiple view geometry in computer vision",   computational geometry,   multi view,   computational geometry in c,   multiple geo,etry in stereo vision,   analytical geometry,   This book @Amazon  View Tools Google Search Web flazx.com

Description A basic problem in computer vision is to understand the structure of a real world scene. This book covers relevant geometric principles and how to represent objects algebraically so they can be computed and applied. Recent major developments in the theory and practice of scene reconstruction are described in detail in a unified framework. Richard Hartley and Andrew Zisserman provide comprehensive background material and explain how to apply the methods and implement the algorithms. Other books on Computer Vision Blind Image Deconvolution: Theory and Applications Computer Vision/Computer Graphics Collaboration Techniques: Third International Conference on Computer Vision/Computer Graphics, MIRAGE 2007, Rocquencourt, ... (Lecture Notes in Computer Science) Multispectral Image Analysis Using the Object-Oriented Paradigm Handbook of Mathematical Models in Computer Vision Image Processing Using Pulse-Coupled Neural Networks Machine Learning in Computer Vision (Computational Imaging and Vision) Evolutionary Synthesis of Pattern Recognition Systems (Monographs in Computer Science) Machine Vision : Theory, Algorithms, Practicalities Computer Vision Beyond the Visible Spectrum (Advances in Pattern Recognition) Multiple View Geometry in Computer Vision Biologically Motivated Computer Vision 2D Object Detection and Recognition: Models, Algorithms, and Networks Computer Vision: A Modern Approach Image Recognition and Classification (Optical Engineering, 78) Scale-Space and Morphology in Computer Vision