DocumentCode
2360386
Title
Shape-Match Algorithm Based on Least Single Direction Warping Works of Points
Author
Hao Yong-tao ; Le, Dai
Author_Institution
CAD Res. Center, TongJi Univ., Shanghai, China
fYear
2009
fDate
25-27 Aug. 2009
Firstpage
1846
Lastpage
1851
Abstract
Image matching is a critical step during the process of object 3D reconstruction on the basis of studying image blending process, this essay, regarding the 2 pre-matching images as start and end images respectively of one object, employs total least warp work between the two images as the matching feature, and modifies the process of vertexs corresponding. This essay raises the matching algorithm based on the model of points mapping in single direction between two images. And the experiment demonstrates its simpleness and effectiveness.
Keywords
image matching; image reconstruction; image blending process; image matching; least single direction warping; object 3D reconstruction; shape-match algorithm; Application software; Character recognition; Computer applications; Computer graphics; Dynamic programming; Electronic mail; Image reconstruction; Interpolation; Neural networks; Shape; linear interpolation; shape-matching; single direction; vertexes corresponding; warping works;
fLanguage
English
Publisher
ieee
Conference_Titel
INC, IMS and IDC, 2009. NCM '09. Fifth International Joint Conference on
Conference_Location
Seoul
Print_ISBN
978-1-4244-5209-5
Electronic_ISBN
978-0-7695-3769-6
Type
conf
DOI
10.1109/NCM.2009.181
Filename
5331442
Link To Document