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  • Book
  • © 2013

Advanced Topics in Computer Vision

  • Presents a broad selection of cutting-edge research from internationally-recognized computer vision groups
  • Covers both theoretical and practical aspects of reconstruction, registration, and recognition
  • Provides an overview of challenging areas, and describes novel algorithms designed to infer the semantic content of images and videos
  • Includes supplementary material: sn.pub/extras

Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)

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Table of contents (14 chapters)

  1. Front Matter

    Pages I-XIV
  2. Recognizing Human Actions by Using Effective Codebooks and Tracking

    • Lamberto Ballan, Lorenzo Seidenari, Giuseppe Serra, Marco Bertini, Alberto Del Bimbo
    Pages 65-93
  3. Evaluating and Extending Trajectory Features for Activity Recognition

    • Ross Messing, Atousa Torabi, Aaron Courville, Chris Pal
    Pages 95-111
  4. Stereo Matching—State-of-the-Art and Research Challenges

    • Michael Bleyer, Christian Breiteneder
    Pages 143-179
  5. Moment Constraints in Convex Optimization for Segmentation and Tracking

    • Maria Klodt, Frank Steinbrücker, Daniel Cremers
    Pages 215-242
  6. Large Scale Metric Learning for Distance-Based Image Classification on Open Ended Data Sets

    • Thomas Mensink, Jakob Verbeek, Florent Perronnin, Gabriela Csurka
    Pages 243-276
  7. Top–Down Bayesian Inference of Indoor Scenes

    • Luca Del Pero, Kobus Barnard
    Pages 277-311
  8. Efficient Loopy Belief Propagation Using the Four Color Theorem

    • Radu Timofte, Luc Van Gool
    Pages 313-339
  9. Boosting k-Nearest Neighbors Classification

    • Paolo Piro, Richard Nock, Wafa Bel Haj Ali, Frank Nielsen, Michel Barlaud
    Pages 341-375
  10. Learning Object Detectors in Stationary Environments

    • Peter M. Roth, Sabine Sternig, Horst Bischof
    Pages 377-409
  11. Video Temporal Super-resolution Based on Self-similarity

    • Mihoko Shimano, Takahiro Okabe, Imari Sato, Yoichi Sato
    Pages 411-430
  12. Back Matter

    Pages 431-433

About this book

This book presents a broad selection of cutting-edge research, covering both theoretical and practical aspects of reconstruction, registration, and recognition. The text provides an overview of challenging areas and descriptions of novel algorithms. Features: investigates visual features, trajectory features, and stereo matching; reviews the main challenges of semi-supervised object recognition, and a novel method for human action categorization; presents a framework for the visual localization of MAVs, and for the use of moment constraints in convex shape optimization; examines solutions to the co-recognition problem, and distance-based classifiers for large-scale image classification; describes how the four-color theorem can be used for solving MRF problems; introduces a Bayesian generative model for understanding indoor environments, and a boosting approach for generalizing the k-NN rule; discusses the issue of scene-specific object detection, and an approach for making temporal super resolution video.

Reviews

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)

Editors and Affiliations

  • Dipartimento di Matematica e Informatica, Università di Catania, Catania, Italy

    Giovanni Maria Farinella, Sebastiano Battiato

  • Department of Engineering, University of Cambridge, Cambridge, United Kingdom

    Roberto Cipolla

About the editors

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.

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access