Cantitate/Preț
Produs
Total produse
Vezi coșul
Local Image Descriptor: Modern Approaches de Bin Fan

Local Image Descriptor: Modern Approaches: SpringerBriefs in Computer Science

Autor Bin Fan, Zhenhua Wang, Fuchao Wu
en Limba Engleză Paperback – 7 feb 2016
This book covers a wide range of local image descriptors, from the classical ones to the state of the art, as well as the burgeoning research topics on this area. The goal of this effort is to let readers know what are the most popular and useful methods in the current, what are the advantages and the disadvantages of these methods, which kind of methods is best suitable for their problems or applications, and what is the future of this area. What is more, hands-on exemplars supplied in this book will be of great interest to Computer Vision engineers and practitioners, as well as those want to begin their research in this area. Overall, this book is suitable for graduates, researchers and engineers in the related areas both as a learning text and as a reference book.
Citește tot Restrânge

Din seria SpringerBriefs in Computer Science

  • 20% Belief Revision in Non-Classical Logics
    Preț: 12062 lei
  • Mobile Edge Caching in Heterogeneous Vehicular Networks
    Preț: 43376 lei
  • Foundations of Blockchain: Theory and Applications
    Preț: 46224 lei
  • Applications of Algebra to Communications, Control, and Signal Processing
    Preț: 29248 lei
  • 20% Feature Models: AI-Driven Design, Analysis and Applications
    Preț: 16696 lei
  • 20% Experience with Technology: Dynamics of User Experience with Mobile Media Devices
    Preț: 31635 lei
  • 20% Deep Learning in Smart eHealth Systems: Evaluation Leveraging for Parkinson’s Disease
    Preț: 28776 lei
  • 20% Art, Design and Technology: Collaboration and Implementation
    Preț: 33565 lei
  • 20% Concepts, Ontologies, and Knowledge Representation
    Preț: 39528 lei
  • 20% ITIL® 2011 At a Glance
    Preț: 31380 lei
  • 20% Lossy Image Compression: Domain Decomposition-Based Algorithms
    Preț: 31380 lei
  • 20% A Survey of Data Leakage Detection and Prevention Solutions
    Preț: 31364 lei
  • 20% Sentiment Analysis for PTSD Signals
    Preț: 31317 lei
  • 20% Glazed Panel Construction with Human-Robot Cooperation
    Preț: 31267 lei
  • Interworking of Wireless LANs and Cellular Networks
    Preț: 36477 lei
  • 20% Data Dissemination and Query in Mobile Social Networks
    Preț: 22596 lei
  • 20% Service Placement in Ad Hoc Networks
    Preț: 31494 lei
  • 20% Software Similarity and Classification
    Preț: 31380 lei
  • 20% Two-Dimensional Change Detection Methods: Remote Sensing Applications
    Preț: 31299 lei
  • 20% Traffic Measurement on the Internet
    Preț: 31330 lei
  • 20% The Design of Cloud Workflow Systems
    Preț: 31413 lei
  • 20% Demand-Driven Associative Classification
    Preț: 31494 lei
  • 20% Autonomic Cooperative Networking
    Preț: 31427 lei
  • 20% Real-Time Detection of Lines and Grids: By PClines and Other Approaches
    Preț: 31299 lei
  • 20% Querying Moving Objects Detected by Sensor Networks
    Preț: 31285 lei
  • 20% Visual Indexing and Retrieval
    Preț: 31427 lei
  • Network Robustness under Large-Scale Attacks
    Preț: 36345 lei
  • Scalable Parallel Programming Applied to H.264/AVC Decoding
    Preț: 34149 lei
  • 20% Evolutionary Game Design
    Preț: 31526 lei
  • Social Media Audit: Measure for Impact
    Preț: 33469 lei
  • Peer-to-Peer Query Processing over Multidimensional Data
    Preț: 36608 lei
  • Group Cell Architecture for Cooperative Communications
    Preț: 36646 lei
  • 20% Intermittently Connected Mobile Ad Hoc Networks: from Routing to Content Distribution
    Preț: 31494 lei
  • 20% Criminal Justice Forecasts of Risk: A Machine Learning Approach
    Preț: 34222 lei
  • 20% Interactive Co-segmentation of Objects in Image Collections
    Preț: 31219 lei
  • 20% Event-Driven Surveillance: Possibilities and Challenges
    Preț: 31299 lei
  • 20% A Primer of Multicast Routing
    Preț: 31494 lei
  • 20% Spatial AutoRegression (SAR) Model: Parameter Estimation Techniques
    Preț: 31285 lei
  • Rhodes Framework for Android™ Platform and BlackBerry® Smartphones
    Preț: 36381 lei
  • 20% Automated Configuration Problem Solving
    Preț: 31108 lei
  • 20% Power Distribution and Performance Analysis for Wireless Communication Networks
    Preț: 31413 lei
  • 20% Mobile Authentication: Problems and Solutions
    Preț: 31494 lei
  • 20% Repairing and Querying Databases under Aggregate Constraints
    Preț: 22515 lei
  • 20% Spatio-temporal Networks: Modeling and Algorithms
    Preț: 29495 lei
  • 20% Entropy Guided Transformation Learning: Algorithms and Applications
    Preț: 31330 lei
  • 20% Video Processing in the Cloud
    Preț: 31236 lei
  • 20% Guide to ILDJIT
    Preț: 31413 lei
  • 20% Context Management for Distributed and Dynamic Context-Aware Computing
    Preț: 31380 lei
  • 20% Bootstrapping Trust in Modern Computers
    Preț: 31458 lei
  • 20% Decentralized Reasoning in Ambient Intelligence
    Preț: 31458 lei

Preț: 31413 lei

Preț vechi: 39266 lei
-20% Nou

Puncte Express: 471
Preț estimativ în valută:
6012€ • 6323$ • 5008£

Carte tipărită la comandă

Livrare economică 03-17 ianuarie 25

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783662491713
ISBN-10: 3662491710
Pagini: 99
Ilustrații: XII, 99 p. 33 illus., 7 illus. in color.
Dimensiuni: 155 x 235 x 6 mm
Greutate: 0.17 kg
Ediția:1st ed. 2015
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria SpringerBriefs in Computer Science

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Graduate

Notă biografică

Dr. Bin Fan is an Associate Professor in the National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences where he got his PhD degree in 2011 and acted as an Assistant Professor from 2011 to 2014. He has been a visiting professor at the Computer Vision Laboratory, Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland, during 2014.5 to 2014.6 and 2015.3 to 2016.3. His research interests include computer vision and pattern recognition. Particularly, he is focusing on designing and matching of local features and their visual applications. He has published over 20 papers in prestigious international journals and conferences such as IEEE TPAMI, IEEE TIP, PR, CVPR, ICCV, ECCV, AAAI. He serves as an Associate Editor of Neurocomputing, Area Chair of WACV’16 and regular reviewer for top-ranking journals as well as on program committee member for major vision conferences. In CVPR’15, he was awarded the Outstanding Reviewer Awards and is currently a member of IEEE. He gave a tutorial about local invariant descriptors in the Vision and Learning Seminar (VALSE) 2014.

Dr. Zhenhua Wang is a research fellow in the Rapid-Rich Object Search (ROSE) Lab, School of EEE, Nanyang Technological University, Singapore since 2014.8. He received his BS degree in software engineering from Sichuan University in 2008, and the PhD degree in pattern analysis and machine intelligence from the National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences. His research interests are in the fields of Computer Vision related topics, including feature detection, feature description, 3D reconstruction.

Prof. Fuchao Wu is a Professor in the National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences. Previously, he acted as a Lecturer and then as an Associate Professor in Anqing Teacher’s College from 1984 to 1994. From 1995 to 2000, he acted as a Professor in Anhui University. His research interests are now in computer vision, which includes multi-view geometry, 3D reconstruction, active vision, and image based modeling. He has published two books and over 100 papers in prestigious international journals and conferences such as IJCV, IEEE TPAMI, IEEE TIP, CVIU, PR, CVPR, ICCV, ECCV etc. He has received several honors and awards, including the Second Best Award of Natural Science of Anhui province in 2000.

Textul de pe ultima copertă

This book covers a wide range of local image descriptors, from the classical ones to the state of the art, as well as the burgeoning research topics on this area. The goal of this effort is to let readers know what are the most popular and useful methods in the current, what are the advantages and the disadvantages of these methods, which kind of methods is best suitable for their problems or applications, and what is the future of this area. What is more, hands-on exemplars supplied in this book will be of great interest to Computer Vision engineers and practitioners, as well as those want to begin their research in this area. Overall, this book is suitable for graduates, researchers and engineers in the related areas both as a learning text and as a reference book.

Caracteristici

Maximizes reader insights into local image description, both on classical methods and the state-of-the-art ones
Broadens your understanding on the development of this area and supplies you the most promising new directions
Reinforces basic principles with respect to designing robust and discriminative local image descriptors
Explains how to use local image descriptors for various computer vision tasks
Includes supplementary material: sn.pub/extras