NDLI: On Object Perception in Enhanced Reality Environment for Robot Telecontrol

Content Provider	IEEE Xplore Digital Library
Author	Chensheng Wang Fei Wang Wiegres, T.
Copyright Year	2009
Abstract	Object recognition is one of the hot topics in computer vision. Existing techniques for object recognition are based on image processing, which tends to be incapable to recover the topological information of the object. In this paper, based on the analysis of human perceptual habit, a novel strategy for object recognition is proposed. The method perceives an object in the scene by means of existing shape knowledge coupling. And a mechanism is designed to grow the system intelligence by depositing the shape knowledge into a repository once a new object is encountered. This makes the system be in a constant way to become more and more intelligent. In addition, the proposed strategy is advantageous in rebuilding the whole object information with the support of the repository. Experiment results carried out in the enhanced reality environment for robot telecontrol shows that the proposed strategy is both valid and effective for the designed application.
Starting Page	52
Ending Page	56
File Size	994527
Page Count	5
File Format	PDF
ISBN	9780769537368
DOI	10.1109/ICNC.2009.13
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	object recognition Computer vision Design automation Shape Robot vision systems object perception Humans Electronic mail Telecommunication computing Object recognition Robotics and automation Image reconstruction object reconstruction robot telecontrol enhanced reality
Content Type	Text
Resource Type	Article

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