Advanced Topics in Computer Vision - Brossura

Brossura

ISBN 10: 1447155211 ISBN 13: 9781447155218

Casa editrice: Springer, 2014

Riassunto

Visual Features: From Early Concepts to Modern Computer Vision
Martin Weinmann

Where Next in Object Recognition and How Much Supervision Do We Need?
Sandra Ebert and Bernt Schiele

Recognizing Human Actions by Using Effective Codebooks and Tracking
Lamberto Ballan, Lorenzo Seidenari, Giuseppe Serra, Marco Bertini and Alberto Del Bimbo

Evaluating and Extending Trajectory Features for Activity Recognition
Ross Messing, Atousa Torabi, Aaron Courville and Chris Pal

Co-Recognition of Images and Videos: Unsupervised Matching of Identical Object Patterns and its Applications
Minsu Cho, Young Min Shin and Kyoung Mu Lee

Stereo Matching: State-of-the-Art and Research Challenges
Michael Bleyer and Christian Breiteneder

Visual Localization for Micro Aerial Vehicles in Urban Outdoor Environments
Andreas Wendel and Horst Bischof

Moment Constraints in Convex Optimization for Segmentation and Tracking
Maria Klodt, Frank Steinbrücker and Daniel Cremers

Large Scale Metric Learning for Distance-Based Image Classification on Open Ended Data Sets
Thomas Mensink, Jakob Verbeek, Florent Perronnin and Gabriela Csurka

Top-Down Bayesian Inference of Indoor Scenes
Luca Del Pero and Kobus Barnard

Efficient Loopy Belief Propagation Using the Four Color Theorem
Radu Timofte and Luc Van Gool

Boosting k-Nearest Neighbors Classification
Paolo Piro, Richard Nock, Wafa Bel Haj Ali, Frank Nielsen and Michel Barlaud

Learning Object Detectors in Stationary Environments
Peter M. Roth, Sabine Sternig and Horst Bischof

Video Temporal Super-Resolution Based on Self-Similarity
Mihoko Shimano, Takahiro Okabe, Imari Sato and Yoichi Sato

Dettagli dell?edizione

• Editore: Springer
• Data di pubblicazione: 2014
• ISBN 10: 1447155211
• ISBN 13: 9781447155218
• Rilegatura: Paperback
• Lingua: Inglese
• Contatto del produttore: non disponibile