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Perception de la vision augmentée dans l'infrarouge : algorithmes et systèmes appliqués par Riyad

État :
Neuf
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Environ116,12 EUR
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Lieu où se trouve l'objet : Fairfield, Ohio, États-Unis
Délai de livraison :
Estimé entre le mer. 3 juil. et le lun. 15 juil. à 43230
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Caractéristiques de l'objet

État
Neuf: Livre neuf, n'ayant jamais été lu ni utilisé, en parfait état, sans pages manquantes ni ...
ISBN-13
9781447156970
Book Title
Augmented Vision Perception in Infrared
ISBN
9781447156970
Subject Area
Computers, Technology & Engineering, Science
Publication Name
Augmented Vision Perception in Infrared : Algorithms and Applied Systems
Item Length
9.3 in
Publisher
Springer London, The Limited
Subject
Lasers & Photonics, Physics / Optics & Light, Computer Vision & Pattern Recognition
Series
Advances in Computer Vision and Pattern Recognition Ser.
Publication Year
2014
Type
Textbook
Format
Trade Paperback
Language
English
Author
Riad I. Hammoud
Item Width
6.1 in
Item Weight
26.8 Oz
Number of Pages
Xxvi, 471 Pages

À propos de ce produit

Product Information

This practical text offers researchers and software engineers a thorough understanding of how core low-level building blocks of machine perception systems are implemented. It includes in-depth coverage of state-of-the-art perception algorithms and experiments.

Product Identifiers

Publisher
Springer London, The Limited
ISBN-10
1447156978
ISBN-13
9781447156970
eBay Product ID (ePID)
211945463

Product Key Features

Author
Riad I. Hammoud
Publication Name
Augmented Vision Perception in Infrared : Algorithms and Applied Systems
Format
Trade Paperback
Language
English
Subject
Lasers & Photonics, Physics / Optics & Light, Computer Vision & Pattern Recognition
Series
Advances in Computer Vision and Pattern Recognition Ser.
Publication Year
2014
Type
Textbook
Subject Area
Computers, Technology & Engineering, Science
Number of Pages
Xxvi, 471 Pages

Dimensions

Item Length
9.3 in
Item Width
6.1 in
Item Weight
26.8 Oz

Additional Product Features

Intended Audience
Scholarly & Professional
Number of Volumes
1 Vol.
Lc Classification Number
Qc685-689.55
Reviews
From the reviews: "It is in this context that the current text--a collection of research papers on cutting-edge infrared technology applications and processing--is most welcome. ... The book contains 18 chapters divided into seven parts. Impressively, a multitude of figures and pictures populate the entire text. These serve to make each chapter easier to comprehend. ... These 18 chapters augment the research of visual perception in infrared imaging. They represent the serious research that is currently being conducted in this field." (Minette Carl, ACM Computing Reviews, July, 2009) "'A comprehensive review of recent deployment of infrared sensors in modern applications of computer vision, along with in-depth description of the world's best machine vision algorithms and intelligent analytics'. ... There are some very instructive chapters that could be taught in an advanced graduate course. ... chapters are accessible to readers of all levels ... and some proposals provide details of very specific as well as complex methodologies." (Antonio Fernández Caballero, International Association for Pattern Recognition, Vol. 32 (3), July, 2010), From the reviews: "It is in this context that the current text--a collection of research papers on cutting-edge infrared technology applications and processing--is most welcome. ... The book contains 18 chapters divided into seven parts. Impressively, a multitude of figures and pictures populate the entire text. These serve to make each chapter easier to comprehend. ... These 18 chapters augment the research of visual perception in infrared imaging. They represent the serious research that is currently being conducted in this field." (Minette Carl, ACM Computing Reviews, July, 2009) "'A comprehensive review of recent deployment of infrared sensors in modern applications of computer vision, along with in-depth description of the world's best machine vision algorithms and intelligent analytics'. ... There are some very instructive chapters that could be taught in an advanced graduate course. ... chapters are accessible to readers of all levels ... and some proposals provide detailsof very specific as well as complex methodologies." (Antonio Fernández Caballero, International Association for Pattern Recognition, Vol. 32 (3), July, 2010)
Table of Content
Infrared Signatures and Classification.- Infrared Thermography for Land Mine Detection.- Passive Polarimetric Information Processing for Target Classification.- Vehicle Classification in Infrared Video Using the Sequential Probability Ratio Test.- Thermal Imagery & Vital Sign Detection.- Multiresolution Approach for Noncontact Measurements of Arterial Pulse Using Thermal Imaging.- Coalitional Tracker for Deception Detection in Thermal Imagery.- Thermal Infrared Imaging in Early Breast Cancer Detection.- Hyperspectral Imagery.- Hyperspectral Image Analysis for Skin Tumor Detection.- Spectral Screened Orthogonal Subspace Projection for Target Detection in Hyperspectral Imagery.- Hyperspectral Imagery.- Face Recognition in Low-Light Environments Using Fusion of Thermal Infrared and Intensified Imagery.- Facial Expression Recognition in Nonvisual Imagery.- Low-Resolution Object Detection in Airborne Infrared Videos.- Runway Positioning and Moving Object Detection Prior to Landing.- MovingObject Localization in Thermal Imagery by Forward-Backward Motion History Images.- Multimodal Imagery Fusion for Human Localization and Tracking.- Feature-Level Fusion for Object Segmentation Using Mutual Information.- Registering Multimodal Imagery with Occluding Objects Using Mutual Information: Application to Stereo Tracking of Humans.- Thermal-Visible Video Fusion for Moving Target Tracking and Pedestrian Motion Analysis and Classification.- Multi Stereo-Based Pedestrian Detection by Daylight and Far-Infrared Cameras.- Real-Time Detection and Tracking of Multiple People in Laser Scan.- Real-Time Detection and Tracking of Multiple People in Laser Scan Frames.- On Boosted and Adaptive Particle Filters for Affine-Invariant Target Tracking in Infrared Imagery.
Copyright Date
2009
Dewey Decimal
621.362
Dewey Edition
22
Illustrated
Yes

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