Article ID: | iaor19976 |
Country: | United States |
Volume: | 13 |
Issue: | 8 |
Start Page Number: | 645 |
End Page Number: | 655 |
Publication Date: | Aug 1995 |
Journal: | Image and Vision Computing |
Authors: | Zhang Y.N., Gerbrands J.J. |
Keywords: | pattern recognition |
A method is described to solve the stereo matching problem of general closed planar curves under possible imperfect segmentation and occlusions, provided that camera parameters are known. The present method decomposes the parameters of an object plane corresponding to stereo curves (i.e. slant, tilt and scale factor), and uses a histogram technique to individually estimate these parameters. The parameter estimation is based on the disparity information of the stereo curves. Point correspondence plays an important role in the method. The authors solve this problem in a dynamic programming style. The final matching is assessed by applying a distance transformation. The method has been applied successfully to several practical examples.