DocumentCode :
2018356
Title :
Extraction and Recognition Algorithm in 3D Object Features
Author :
Sukimin, Zuraini ; Haron, Habibollah
Author_Institution :
Fac. of Comput. Sci. & Inf. Syst., Univ. Teknol. Malaysia, Skudai
fYear :
2009
fDate :
25-29 May 2009
Firstpage :
57
Lastpage :
60
Abstract :
Extraction of 3D object is often an important pre-processing step in recognizing object. Analysis over previous related works of multiple researchers necessitates the use of either feature selection algorithm or extraction algorithm prior to classification. Algorithm becomes an important part of future application programs for checking design rules and generating manufacturing advice and plans. In this paper, the authors present the methodology used in developing the algorithm proposed. The process is focusing in designing, analysis and extraction over DXF file format. Presents also the algorithm develops in extracting and recognizing the object. The process of recognition object may involve extraction on code of the design. This extraction process will reject and select some of the code which is suspected notoriously redundant. Only relevant information from the code of the design will be extract. Although the algorithm successfully works, further work still needs to be done to make it more functional.
Keywords :
feature extraction; feature selection algorithm; features extraction; recognition algorithm; Algorithm design and analysis; Classification algorithms; Computer aided manufacturing; Computer science; Data mining; Design automation; Feature extraction; Geometry; Information systems; Production; Algorithm; DXF; Features extraction; Recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Modelling & Simulation, 2009. AMS '09. Third Asia International Conference on
Conference_Location :
Bali
Print_ISBN :
978-1-4244-4154-9
Electronic_ISBN :
978-0-7695-3648-4
Type :
conf
DOI :
10.1109/AMS.2009.93
Filename :
5071958
Link To Document :
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