Ieee Workshop On Computer Vision Beyond The Visible Spectrum


Download Ieee Workshop On Computer Vision Beyond The Visible Spectrum PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Ieee Workshop On Computer Vision Beyond The Visible Spectrum book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.

Download

Machine Vision Beyond Visible Spectrum


Machine Vision Beyond Visible Spectrum

Author: Riad Hammoud

language: en

Publisher: Springer Science & Business Media

Release Date: 2011-05-30


DOWNLOAD





The material of this book encompasses many disciplines, including visible, infrared, far infrared, millimeter wave, microwave, radar, synthetic aperture radar, and electro-optical sensors as well as the very dynamic topics of image processing, computer vision and pattern recognition. This book is composed of six parts: * Advanced background modeling for surveillance * Advances in Tracking in Infrared imagery * Methods for Pose estimation in Ultrasound and LWIR imagery * Recognition in multi-spectral and synthetic aperture radar * Fusion of disparate sensors * Smart Sensors

Computer Vision Beyond the Visible Spectrum


Computer Vision Beyond the Visible Spectrum

Author:

language: en

Publisher:

Release Date:


DOWNLOAD





Computer Vision - ECCV 2004


Computer Vision - ECCV 2004

Author: Tomas Pajdla

language: en

Publisher: Springer Science & Business Media

Release Date: 2004-04-28


DOWNLOAD





The four-volume set comprising LNCS volumes 3021/3022/3023/3024 constitutes the refereed proceedings of the 8th European Conference on Computer Vision, ECCV 2004, held in Prague, Czech Republic, in May 2004. The 190 revised papers presented were carefully reviewed and selected from a total of 555 papers submitted. The four books span the entire range of current issues in computer vision. The papers are organized in topical sections on tracking; feature-based object detection and recognition; geometry; texture; learning and recognition; information-based image processing; scale space, flow, and restoration; 2D shape detection and recognition; and 3D shape representation and reconstruction.