DocumentCode :
1928549
Title :
A fast and accurate interest points detection algorithm on 3D meshes using extension of harris operator combined with Hilbert scanning distance
Author :
Tibyani, T. ; Kamata, Shingo
Author_Institution :
Grad. Sch. of Inf., Production & Syst., Waseda Univ., Fukuoka, Japan
fYear :
2012
fDate :
23-26 Sept. 2012
Firstpage :
367
Lastpage :
371
Abstract :
The main purpose of interest points detection (IPD) for 3D objects based on Harris operator is to find the fast computation of weighted average of the derivative data for different points. In this paper, we analyze the extension of Harris operator using Hausdorff distance (EHOHD) and propose the extension of Harris operator using Hilbert scanning distance (EHOHSD) as a new proposed method to IPD on 3D manifold triangular meshes data. Proposed EHOHSD method is 6-16 times faster than EHOHD method. The quality of this IPD with EHOHSD was measured using the repeatability criterion.
Keywords :
computer vision; mesh generation; object detection; set theory; 3D manifold triangular meshes data; EHOHD; EHOHSD; Hilbert scanning distance; IPD; computer vision algorithm; derivative data weighted average computation; extension-of-Harris operator-using-Hausdorff distance; extension-of-Harris operator-using-Hilbert scanning distance; interest points detection algorithm; pattern recognition algorithm; repeatability criterion; 3D interest points detection; 3D triangular mesh; Harris operator; Hausdorff distance; Hilbert scanning distance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications (ISIEA), 2012 IEEE Symposium on
Conference_Location :
Bandung
Print_ISBN :
978-1-4673-3004-6
Type :
conf
DOI :
10.1109/ISIEA.2012.6496662
Filename :
6496662
Link To Document :
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