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.
Produkteigenschaften
- Artikelnummer: 9781447155195
- Medium: Buch
- ISBN: 978-1-4471-5519-5
- Verlag: Springer
- Erscheinungstermin: 07.10.2013
- Sprache(n): Englisch
- Auflage: 2013
- Serie: Advances in Computer Vision and Pattern Recognition
- Produktform: Gebunden, HC runder Rücken kaschiert
- Gewicht: 8734 g
- Seiten: 433
- Format (B x H x T): 160 x 241 x 29 mm
- Ausgabetyp: Kein, Unbekannt