这本《高级计算机视觉主题》提供了深入探讨计算机视觉领域的最新进展和挑战。本书全面覆盖了该领域的重要概念和技术，适合研究者及专业人士阅读使用。特别提供免费的PDF版本，方便读者获取学习资源。
This book is part of the Advances in Computer Vision and Pattern Recognition series, published by Springer on September 24, 2013. It contains 433 pages and is written in English with ISBN-10: 144715519X and ISBN-13: 978-1447155195.
The book covers a wide range of advanced research topics, including both theoretical foundations and practical applications related to reconstruction, registration, and recognition. It explores challenging areas within these fields and introduces innovative algorithms designed to address complex problems.
Key features include:
- An examination of visual features, trajectory features, and stereo matching techniques.
- A review of the primary challenges in semi-supervised object recognition along with a new approach for categorizing human actions.
- A framework developed for visually localizing micro aerial vehicles (MAVs) as well as methods utilizing moment constraints for convex shape optimization.
- Solutions to co-recognition issues and distance-based classifiers optimized for large-scale image classification tasks.
- An exploration of how the four-color theorem can be applied in solving Markov Random Field (MRF) problems.
- A Bayesian generative model designed to understand indoor environments, alongside a boosting technique that generalizes the k-nearest neighbor rule.
- Discussions on scene-specific object detection and methods for achieving temporal super-resolution video processing.
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