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
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