Produktnummer:
1859a02fabf8494b5983e8d05df6327087
| Themengebiete: | 3D Reconstruction Boosting Computer Vision Convex Optimization Event and Activity Recognition Graph Cuts Image Segmentation Image and Video Analysis Large Scale Image Classification Learning Objects |
|---|---|
| Veröffentlichungsdatum: | 07.10.2013 |
| EAN: | 9781447155195 |
| Sprache: | Englisch |
| Seitenzahl: | 433 |
| Produktart: | Gebunden |
| Herausgeber: | Battiato, Sebastiano Cipolla, Roberto Farinella, Giovanni Maria |
| Verlag: | Springer London |
Produktinformationen "Advanced Topics in Computer Vision"
This book presents a broad selection of cutting-edge research, covering both theoretical and practical aspects of reconstruction, registration, and recognition. The text provides an overview of challenging areas and descriptions of novel algorithms. Features: investigates visual features, trajectory features, and stereo matching; reviews the main challenges of semi-supervised object recognition, and a novel method for human action categorization; presents a framework for the visual localization of MAVs, and for the use of moment constraints in convex shape optimization; examines solutions to the co-recognition problem, and distance-based classifiers for large-scale image classification; describes how the four-color theorem can be used for solving MRF problems; introduces a Bayesian generative model for understanding indoor environments, and a boosting approach for generalizing the k-NN rule; discusses the issue of scene-specific object detection, and an approach for making temporal super resolution video.
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