Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
850932 | Optik - International Journal for Light and Electron Optics | 2013 | 5 Pages |
Abstract
Image matching has been an important topic in computer vision and image processing. A new approach named Gradient Orientation Selective Cross Correlation is proposed for image matching. In the new approach, a gradient orientation selectivity strategy is proposed to exclude the wrong points from correlation, especially for partial occlusion and some other ill-conditions. Experimental results are shown to demonstrate robustness, efficiency, and accuracy of the algorithm.
Related Topics
Physical Sciences and Engineering
Engineering
Engineering (General)
Authors
Hu Zhu, Lizhen Deng,