Erhältlich:
Nicht auf Lager
Buch (Hardcover): Fachbuch
Computer Vision and Machine Learning with RGB-D Sensors
Produkt bewerten
Verlag:
Springer Verlag Unsere-Artikel-Nr.: GNQNNVW
EAN: 9783319086507
Erhältlich:
Nicht auf Lager
Zustellung: Di, 14.07.2026
Versand: Kostenlos
-15.6 %
CHF 70.–
CHF 59.07
Beschreibung
This book presents an interdisciplinary selection of cutting-edge research on RGB-D based computer vision. Features: discusses the calibration of color and depth cameras, the reduction of noise on depth maps and methods for capturing human performance in 3D; reviews a selection of applications which use RGB-D information to reconstruct human figures, evaluate energy consumption and obtain accurate action classification; presents an approach for 3D object retrieval and for the reconstruction of gas flow from multiple Kinect cameras; describes an RGB-D computer vision system designed to assist the visually impaired and another for smart-environment sensing to assist elderly and disabled people; examines the effective features that characterize static hand poses and introduces a unified framework to enforce both temporal and spatial constraints for hand parsing; proposes a new classifier architecture for real-time hand pose recognition and a novel hand segmentation and gesture recognition system.
Spezifikationen
Sprache
- Englisch
Autor
- Jungong Han
- Pushmeet Kohli
- Zhengyou Zhang
- Ling Shao
Thema
- Künstliche Intelligenz: Allgemein, Maschinelles Sehen
- Informatik: Mensch-Computer-Interaktion
Kollektion
- Advances in Computer Vision and Pattern Recognition
Zielgruppe
- Research
Erscheinungsjahr
- 2014
Erscheinungsland
- Schweiz
Format
- Buch (Hardcover)
Anzahl Seiten
- 316