Produktbild: Advanced Topics in Computer Vision
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Advanced Topics in Computer Vision

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

23.08.2016

Abbildungen

XIV, 433 p. 218 illus., 180 illus. in color.

Herausgeber

Giovanni Maria Farinella + weitere

Verlag

Springer London

Seitenzahl

433

Maße (L/B/H)

23,5/15,5/2,3 cm

Gewicht

756 g

Auflage

Softcover reprint of the original 1st ed. 2013

Sprache

Englisch

ISBN

978-1-4471-7025-9

Beschreibung

Rezension

From the book reviews:

“The goal of this book is to provide an overview of recent works in computer vision. … The book is intended more for engineers and researchers who will use it as a relevant source of knowledge in the computer vision field, and benefit from the presence of recent and representative methods that are among the best existing solutions to solve the problems reviewed in the book.” (Sebastien Lefevre, Computing Reviews, June, 2014)

Portrait


Dr. Giovanni Maria Farinella
 is Adjunct Professor of Computer Science at the University of Catania, Italy, and Contract Professor of Computer Vision at the School of Arts of Catania, Italy. 
Dr.
 
Sebastiano Battiato
 is Associate Professor at the University of Catania, Italy. 
Dr. Roberto Cipolla
 is Professor of Information Engineeringat the University of Cambridge, UK.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

23.08.2016

Abbildungen

XIV, 433 p. 218 illus., 180 illus. in color.

Herausgeber

Verlag

Springer London

Seitenzahl

433

Maße (L/B/H)

23,5/15,5/2,3 cm

Gewicht

756 g

Auflage

Softcover reprint of the original 1st ed. 2013

Sprache

Englisch

ISBN

978-1-4471-7025-9

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Advanced Topics in Computer Vision

  • Visual Features: From Early Concepts to Modern Computer Vision.- Where Next in Object Recognition and How Much Supervision Do We Need?.- Recognizing Human Actions by Using Effective Codebooks and Tracking.- Evaluating and Extending Trajectory Features for Activity Recognition.- Co-Recognition of Images and Videos: Unsupervised Matching of Identical Object Patterns and its Applications.- Stereo Matching: State-of-the-Art and Research Challenges.- Visual Localization for Micro Aerial Vehicles in Urban Outdoor Environments.- Moment Constraints in Convex Optimization for Segmentation and Tracking.- Large Scale Metric Learning for Distance-Based Image Classification on Open Ended Data Sets.- Top-Down Bayesian Inference of Indoor Scenes.- Efficient Loopy Belief Propagation Using the Four Color Theorem.- Boosting k-Nearest Neighbors Classification.- Learning Object Detectors in Stationary Environments.- Video Temporal Super-Resolution Based on Self-Similarity.