Abstract In this paper, we are presenting a new surface signature-based representation that is orientation-independent and can be used to match and align surfaces under rigid transformation including uniform scaling. The proposed scheme represents the surface signatures as extended polar maps. Correlation of the maps is used to establish point correspondences between two views; from these correspondences a rigid transformation, including uniform scaling, that aligns the views is calculated. The effectiveness of the proposed scheme is demonstrated through several registration experiments.
Surface Registration Using Extended Polar Maps
Computer Vision – ACCV 2006 ; 10 ; 938-947
Lecture Notes in Computer Science ; 3851 , 10
2006-01-01
10 pages
Article/Chapter (Book)
Electronic Resource
English
Machine Intelligence , Iterative Close Point , Surface Patch , Registration Error , Rigid Transformation Computer Science , Computer Imaging, Vision, Pattern Recognition and Graphics , Pattern Recognition , Image Processing and Computer Vision , Artificial Intelligence (incl. Robotics) , Algorithm Analysis and Problem Complexity
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