DocumentCode :
2943269
Title :
A portrait drawing robot using a geometric graph approach: Furthest Neighbour Theta-graphs
Author :
Lau, Meng Cheng ; Baltes, Jacky ; Anderson, John ; Durocher, Stephane
Author_Institution :
Univ. Kebangsaan Malaysia, Bangi, Malaysia
fYear :
2012
fDate :
11-14 July 2012
Firstpage :
75
Lastpage :
79
Abstract :
We examine the problem of estimating ideal edges joining points in a pixel reduction image for an existing point-to-point portrait drawing humanoid robot, Betty. To solve this line drawing problem we present a modified Theta-graph, called Furthest Neighbour Theta-graph, which we show is computable in O(n(log n)/θ) time, where θ is a fixed angle in the graph´s definition. Our results show that the number of edges in the resulting drawing is significantly reduced without degrading the detail of the final output image.
Keywords :
geometry; graph theory; humanoid robots; Betty; furthest neighbour theta-graph; geometric graph approach; line drawing problem; pixel reduction image; point-to-point portrait drawing humanoid robot; Approximation algorithms; Conferences; Humanoid robots; Humans; Image edge detection; Service robots;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Intelligent Mechatronics (AIM), 2012 IEEE/ASME International Conference on
Conference_Location :
Kachsiung
ISSN :
2159-6247
Print_ISBN :
978-1-4673-2575-2
Type :
conf
DOI :
10.1109/AIM.2012.6265936
Filename :
6265936
Link To Document :
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