Farinella, Giovanni Maria
Advanced Topics in Computer Vision
1. Visual Features—From Early Concepts to Modern Computer Vision
Martin Weinmann
2. Where Next in Object Recognition and how much Supervision Do We Need?
Sandra Ebert, Bernt Schiele
3. Recognizing Human Actions by Using Effective Codebooks and Tracking
Lamberto Ballan, Lorenzo Seidenari, Giuseppe Serra, Marco Bertini, Alberto Del Bimbo
4. Evaluating and Extending Trajectory Features for Activity Recognition
Ross Messing, Atousa Torabi, Aaron Courville, Chris Pal
5. Co-recognition of Images and Videos: Unsupervised Matching of Identical Object Patterns and Its Applications
Minsu Cho, Young Min Shin, Kyoung Mu Lee
6. Stereo Matching—State-of-the-Art and Research Challenges
Michael Bleyer, Christian Breiteneder
7. Visual Localization for Micro Aerial Vehicles in Urban Outdoor Environments
Andreas Wendel, Horst Bischof
8. Moment Constraints in Convex Optimization for Segmentation and Tracking
Maria Klodt, Frank Steinbrücker, Daniel Cremers
9. Large Scale Metric Learning for Distance-Based Image Classification on Open Ended Data Sets
Thomas Mensink, Jakob Verbeek, Florent Perronnin, Gabriela Csurka
10. Top–Down Bayesian Inference of Indoor Scenes
Luca Del Pero, Kobus Barnard
11. Efficient Loopy Belief Propagation Using the Four Color Theorem
Radu Timofte, Luc Gool
12. Boosting
Paolo Piro, Richard Nock, Wafa Bel Haj Ali, Frank Nielsen, Michel Barlaud
13. Learning Object Detectors in Stationary Environments
Peter M. Roth, Sabine Sternig, Horst Bischof
14. Video Temporal Super-resolution Based on Self-similarity
Mihoko Shimano, Takahiro Okabe, Imari Sato, Yoichi Sato
Keywords: Computer Science, Computer Imaging, Vision, Pattern Recognition and Graphics
- Author(s)
- Farinella, Giovanni Maria
- Battiato, Sebastiano
- Cipolla, Roberto
- Publisher
- Springer
- Publication year
- 2013
- Language
- en
- Edition
- 2013
- Series
- Advances in Computer Vision and Pattern Recognition
- Page amount
- 14 pages
- Category
- Information Technology, Telecommunications
- Format
- Ebook
- eISBN (PDF)
- 9781447155201