Real-time Software Hand Pose Recognition using Single View Depth Images

Real-time Software Hand Pose Recognition using Single View Depth Images

Thesis (MEng)--Stellenbosch University, 2014. === ENGLISH ABSTRACT: The fairly recent introduction of low-cost depth sensors such as Microsoft’s Xbox Kinect has encouraged a large amount of research on the use of depth sensors for many common Computer Vision problems. Depth images are advantageous...

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Bibliographic Details
Main Author: Alberts, Stefan Francois
Other Authors: Engelbrecht, H. A.
Format: Others
Language:en_ZA
Published: Stellenbosch : Stellenbosch University 2014
Subjects:
Computer vision
Hand poses
Hand signals
Pattern recognition systems
Dissertations > Electrical and electronic engineering
Depth sensors
Image converters
Remote control
Motion control devices
UCTD
Theses > Electrical and electronic engineering
Online Access:http://hdl.handle.net/10019.1/86442

Internet

http://hdl.handle.net/10019.1/86442

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