Name
Abstract | ||
|---|---|---|
Image shape restoration based on mathematical transformation is a successful approach to nonlinear distortions in computer vision, robot vision and pattern recognition. The key of this process is to find the distortion function and its inverse function. Usually, the distortion function is unknown or unclear. Even in the case where the function is known, it remains difficult to compute or estimate the parameters necessary for the restoration. To overcome this problem, Coons transformation utilizing boundary functions for the distorted images have been used to approximate the exact distortion function. The boundary functions are calculated using B-spline curve interpolation which is coincided with the necessary condition of major elements that constitute a Coons transformation |
Year | DOI | Venue |
|---|---|---|
1995 | 10.1109/ICDAR.1995.598984 | international conference on document analysis and recognition |
Keywords | DocType | Volume |
distorted image,boundary functions,pattern recognition,distortion function,interpolation,general elastic function,mathematical transformation,boundary function,coons transformation,nonlinear shape restoration,b-spline curve interpolation,splitting-integrating method,curve fitting,necessary condition,image restoration,distorted images,computer vision,nonlinear distortions,image shape restoration,splines (mathematics),exact distortion function,robot vision,inverse function,nonlinearity,interpolacion,distortion,nonlinear distortion,performance,spline,distorsion | Conference | 1 |
Issue | ISSN | ISBN |
2 | Pattern Recognition | 0-8186-7128-9 |
Citations | PageRank | References |
1 | 0.38 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Seong-Whan Lee | 1 | 3756 | 343.90 |
| Eun-Soon Kim | 2 | 10 | 1.41 |
| Y. Y. Tang | 3 | 416 | 165.12 |