Advanced topics in computer vision /
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...
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| その他の著者: | , |
| フォーマット: | eBook |
| 言語: | English |
| 出版事項: |
London
Springer London Imprint: Springer,
2013.
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| シリーズ: | Advances in Computer Vision and Pattern Recognition,
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| 主題: | |
| オンライン･アクセス: | Click here to view the full text content |
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目次:
- Visual Features: From Early Concepts to Modern Computer Vision
- Where Next in Object Recognition and How Much Supervision Do We Need?
- Recognizing Human Actions by Using Effective Codebooks and Tracking
- Evaluating and Extending Trajectory Features for Activity Recognition
- Co-Recognition of Images and Videos: Unsupervised Matching of Identical Object Patterns and its Applications
- Stereo Matching: State-of-the-Art and Research Challenges
- Visual Localization for Micro Aerial Vehicles in Urban Outdoor Environments
- Moment Constraints in Convex Optimization for Segmentation and Tracking
- Large Scale Metric Learning for Distance-Based Image Classification on Open Ended Data Sets
- Top-Down Bayesian Inference of Indoor Scenes
- Efficient Loopy Belief Propagation Using the Four Color Theorem
- Boosting k-Nearest Neighbors Classification
- Learning Object Detectors in Stationary Environments
- Video Temporal Super-Resolution Based on Self-Similarity.