Simutaneous real-time object recognition and pose estimation for artificial systems operating in dynamic environments

Simutaneous real-time object recognition and pose estimation for artificial systems operating in dynamic environments

Recent advances in technology have increased awareness of the necessity for automated systems in people’s everyday lives. Artificial systems are more frequently being introduced into environments previously thought to be too perilous for humans to operate in. Some robots can be used to extract po...

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Bibliographic Details
Main Author: Van Wyk, Frans-Pieter
Other Authors: Grobler, H.
Language:en
Published: University of Pretoria 2014
Subjects:
Object recognition
Pose estimation
Real-time
Partial object matching
3D features
Free form deformation
Data compression
Locality sensitive hashing
Structured light
Intelligent systems
UCTD
Online Access:http://hdl.handle.net/2263/33323
Van Wyk, FP 2013, Simutaneous real-time object recognition and pose estimation for artificial systems operating in dynamic environments, MEng dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/33323>

Internet

http://hdl.handle.net/2263/33323
Van Wyk, FP 2013, Simutaneous real-time object recognition and pose estimation for artificial systems operating in dynamic environments, MEng dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/33323>

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