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Advanced Topics in Computer Vision

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Cover of 'Advanced Topics in Computer Vision'

Table of Contents

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    Book Overview
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    Chapter 1 Visual Features—From Early Concepts to Modern Computer Vision
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    Chapter 2 Where Next in Object Recognition and how much Supervision Do We Need?
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    Chapter 3 Recognizing Human Actions by Using Effective Codebooks and Tracking
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    Chapter 4 Evaluating and Extending Trajectory Features for Activity Recognition
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    Chapter 5 Co-recognition of Images and Videos: Unsupervised Matching of Identical Object Patterns and Its Applications
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    Chapter 6 Stereo Matching—State-of-the-Art and Research Challenges
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    Chapter 7 Visual Localization for Micro Aerial Vehicles in Urban Outdoor Environments
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    Chapter 8 Moment Constraints in Convex Optimization for Segmentation and Tracking
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    Chapter 9 Large Scale Metric Learning for Distance-Based Image Classification on Open Ended Data Sets
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    Chapter 10 Top–Down Bayesian Inference of Indoor Scenes
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    Chapter 11 Efficient Loopy Belief Propagation Using the Four Color Theorem
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    Chapter 12 Boosting k -Nearest Neighbors Classification
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    Chapter 13 Learning Object Detectors in Stationary Environments
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    Chapter 14 Video Temporal Super-resolution Based on Self-similarity
Attention for Chapter 1: Visual Features—From Early Concepts to Modern Computer Vision
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