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Advanced topics in computer vision / [edited by] Giovanni Maria Farinella, Sebastiano Battiato and Roberto Cipolla.

Contributor(s): Material type: TextTextSeries: Advances in computer vision and pattern recognitionPublication details: London : Springer-Verlag, 2013.Description: xiv, 433 p. ; illustrations (some color)ISBN:
  • 9781447155195 (hard cover : alk. paper)
Subject(s): DDC classification:
  • 23 F225 006.6
Contents:
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 and Bernt Schiele -- 3. Recognizing Human Actions by Using Effective Codebooks and Tracking / Lamberto Ballan, Lorenzo Seidenari and Giuseppe Serra -- 4. Evaluating and Extending Trajectory Features for Activity Recognition / Ross Messing, Atousa Torabi and Aaron Courville -- 5. Co-recognition of Images and Videos: Unsupervised Matching of Identical Object Patterns and Its Applications / Minsu Cho, Young Min Shin and Kyoung Mu Lee -- 6. Stereo Matching--State-of-the-Art and Research Challenges / Michael Bleyer and Christian Breiteneder -- 7. Visual Localization for Micro Aerial Vehicles in Urban Outdoor Environments / Andreas Wendel and Horst Bischof -- 8. Moment Constraints in Convex Optimization for Segmentation and Tracking / Maria Klodt, Frank Steinbrücker and Daniel Cremers -- 9. Large Scale Metric Learning for Distance-Based Image Classification on Open Ended Data Sets / Thomas Mensink, Jakob Verbeek and Florent Perronnin -- 10. Top-Down Bayesian Inference of Indoor Scenes / Luca Del Pero and Kobus Barnard -- 11. Efficient Loopy Belief Propagation Using the Four Color Theorem / Radu Timofte and Luc Van Gool -- 12. Boosting k-Nearest Neighbors Classification / Paolo Piro, Richard Nock and Wafa Bel Haj Ali -- 13. Learning Object Detectors in Stationary Environments / Peter M. Roth, Sabine Sternig and Horst Bischof -- 14. Video Temporal Super-resolution Based on Self-similarity / Mihoko Shimano, Takahiro Okabe and Imari Sato-- Index.
Summary: Computer vision is the science and technology of making machines that see. It is concerned with the theory, design and implementation of algorithms that can automatically process visual data to recognize objects, track and recover their shape and spatial layout.? This unique text/reference presents a broad selection of cutting-edge research, covering both theoretical and practical aspects of the three main areas in computer vision: reconstruction, registration, and recognition. The book provides an in-depth overview of challenging areas, in addition to descriptions of novel algorithms that exploit machine learning and pattern recognition techniques to infer the semantic content of images and videos.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 006.6 F225 (Browse shelf(Opens below)) Available 135630
Total holds: 0

Includes index.

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 and Bernt Schiele --
3. Recognizing Human Actions by Using Effective Codebooks and Tracking / Lamberto Ballan, Lorenzo Seidenari and Giuseppe Serra --
4. Evaluating and Extending Trajectory Features for Activity Recognition / Ross Messing, Atousa Torabi and Aaron Courville --
5. Co-recognition of Images and Videos: Unsupervised Matching of Identical Object Patterns and Its Applications / Minsu Cho, Young Min Shin and Kyoung Mu Lee --
6. Stereo Matching--State-of-the-Art and Research Challenges / Michael Bleyer and Christian Breiteneder --
7. Visual Localization for Micro Aerial Vehicles in Urban Outdoor Environments / Andreas Wendel and Horst Bischof --
8. Moment Constraints in Convex Optimization for Segmentation and Tracking / Maria Klodt, Frank Steinbrücker and Daniel Cremers --
9. Large Scale Metric Learning for Distance-Based Image Classification on Open Ended Data Sets / Thomas Mensink, Jakob Verbeek and Florent Perronnin --
10. Top-Down Bayesian Inference of Indoor Scenes / Luca Del Pero and Kobus Barnard --
11. Efficient Loopy Belief Propagation Using the Four Color Theorem / Radu Timofte and Luc Van Gool --
12. Boosting k-Nearest Neighbors Classification / Paolo Piro, Richard Nock and Wafa Bel Haj Ali --
13. Learning Object Detectors in Stationary Environments / Peter M. Roth, Sabine Sternig and Horst Bischof --
14. Video Temporal Super-resolution Based on Self-similarity / Mihoko Shimano, Takahiro Okabe and Imari Sato--
Index.

Computer vision is the science and technology of making machines that see. It is concerned with the theory, design and implementation of algorithms that can automatically process visual data to recognize objects, track and recover their shape and spatial layout.? This unique text/reference presents a broad selection of cutting-edge research, covering both theoretical and practical aspects of the three main areas in computer vision: reconstruction, registration, and recognition. The book provides an in-depth overview of challenging areas, in addition to descriptions of novel algorithms that exploit machine learning and pattern recognition techniques to infer the semantic content of images and videos.

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