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Więcej informacji o Computer Vision and Machine Learning with RGB-D Sensors

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Opis

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.

Szczegóły książki

Kategoria Książki po angielsku Computing & information technology Computer science Human-computer interaction

• Pełny tytuł: Computer Vision and Machine Learning with RGB-D Sensors
• Autor: Ling Shao, Jungong Han, Pushmeet Kohli, Zhengyou Zhang
• Język: Angielski
• Oprawa: Miękka
• Liczba stron: 316
• EAN: 9783319381053
• ISBN: 3319381059
• ID: 14277630
• Wydawca: Springer International Publishing AG
• Waga: 5575 g
• Wymiary: 15 × 155 × 17 mm
• Data wydania: 17. September 2016

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