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Pushmeet (Hrsg.) Kohli

Computer Vision and Machine Learning with RGB-D Sensors

Ebook (PDF Format)

The combination of high-resolution visual and depth sensing, supported by machine learning, opens up new opportunities to solve real-world problems in computer vision.This authoritative text/reference presents an interdisciplinary selection of important, cutting-edge research on RGB-D based computer vision. Divided into four sections, the book opens with a detailed survey of the field, followed by a focused examination of RGB-D based 3D reconstruction, mapping and synthesis. The work continues with a section devoted to novel techniques that employ depth data for object detection, segmentation and tracking, and concludes with examples of accur… Mehr

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Produktdetails


Weitere Autoren: Shao, Ling (Hrsg.) / Han, Jungong (Hrsg.) / Zhang, Zhengyou (Hrsg.)
  • ISBN: 978-3-319-08651-4
  • EAN: 9783319086514
  • Produktnummer: 18258041
  • Verlag: Springer
  • Sprache: Englisch
  • Erscheinungsjahr: 2014
  • Plattform: PDF
  • Masse: 14'087 KB

Über den Autor


Dr. Ling Shao is a Senior Lecturer (Associate Professor) in the Department of Electronic and Electrical Engineering at the University of Sheffield, UK. His publications include the Springer title Multimedia Interaction and Intelligent User Interfaces.Dr. Jungong Han is a Senior Scientist at Civolution Technology, Eindhoven, and a Guest Researcher at the Eindhoven University of Technology, Netherlands.Dr. Pushmeet Kohli is a Senior Researcher in the Machine Learning and Perception Group at Microsoft Research Cambridge and an Associate in the Psychometrics Centre at the University of Cambridge, UK.Dr. Zhengyou Zhang, IEEE Fellow and ACM Fellow, is a Principal Researcher and Research Manager of the Multimedia, Interaction, and Communication Group at Microsoft Research Redmond, WA, USA.

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