Computer vision refers to the ability of computers to see the world around them. Commonly associated with gesture recognition systems, it allows robots and gadgets alike to recognise what you would like them to do by how you move your body, or by tracking the movements, and gestures of your hands.
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A basic problem in computer vision is to understand the structure of a physical sceene from just one or two camera?s perspective. This book attempts to provide a basic background in everything you need to know to be able to create a computer vision system, and train it to deal with the physical world.
An applied introduction to modern computer vision, focusing on a set of computational techniques for 3-D imaging. Covers a wide range of fundamental problems encountered within computer vision and provides detailed algorithmic and theoretical solutions for each. Each chapter concentrates on a specific problem and solves it by building on previous results.
This book gives senior undergraduate and beginning graduate students and researchers in computer vision, applied mathematics, computer graphics, and robotics a self-contained introduction to the geometry of 3D vision; that is the reconstruction of 3D models of objects from a collection of 2D images.
Written by the creators of OpenCV, the widely used free open-source library, this book introduces you to computer vision and demonstrates how you can quickly build applications that enable AR applications, peripherals and robotics to interpret visual input from cameras, separate out the elements of the scene, and then make decisions based on that data.
A group of researchers from UC Santa Barbara have been comparing the human visual system to machine vision systems from an architectual and programming perspective, to see what, exactly makes human vision systems more efficient - and gain some insight on how to replicate that.
The dramatic growth in practical applications for machine learning over the last ten years has been accompanied by many important developments in the underlying algorithms and techniques. This book is suitable for courses on machine learning, statistics, computer science, signal processing, computer vision, data mining, and bioinformatics.
There are a few, albeit exceedingly rare cases, where after a lifetime of blindness, a human's vision is naturally restored. These cases, properly studied, are yielding impressive amounts of data on how a vision system forms in a mature mind - and thus how to recreate the same, in machine vision.
A new modelling system, VideoTrace; the result of a collaboration between The Australian Centre for Visual Technologies at the University of Adelaide, and The Oxford Brookes Computer Vision Group, is capable of taking the output of any handheld digital camcorder, and turn it into a 3D model.
The five-year tale of Bob Mottram's quest to create a general purpose machine vision with two eyes, able to see the world how humans do.
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Industry News containing the Term Computer Vision:
June 13, June 18 2010
San Francisco, California, USA
Papers in the main technical program must describe high-quality, original research.
Topics of interest include all aspects of computer vision and pattern reco...
Montreal, QC. 28-30 May 2007
CRV 2007, the 4th Canadian Conference on Computer and Robot Vision, formerly known as Vision Interface (VI) will be held May 28-30 in Montreal at the Marriott Chateau Champlain.
Inspired by the behavior of the human eye, Boston College computer scientists have developed a technique that lets computers see objects as fleeting as a butterfly or tropical fish with nearly double the accuracy and 10 times the speed of e...
The human brain processes the gigabytes of data per second delivered through our eyes, enabling us to see and interact with our surroundings. Computer vision technology seeks to give machines the same ability - to process and act on visual ...
24 - 26 July 2008
The IADIS Computer Graphics and Visualization (CGV) 2008 conference aims to address the main issues on Computer Graphics, Visualization, Image Processing and Computer Vision.