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
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;
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
DOI :
10.1109/NCM.2009.181
