Artificial Intelligence - Special volume on computer vision
Robust Image Corner Detection Through Curvature Scale Space
IEEE Transactions on Pattern Analysis and Machine Intelligence
Curvature Scale Space Corner Detector with Adaptive Threshold and Dynamic Region of Support
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Multiple Object Class Detection with a Generative Model
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Local invariant feature detectors: a survey
Foundations and Trends® in Computer Graphics and Vision
Adaptive Harris Corner Detection Algorithm Based on B-Spline Function
IHMSC '10 Proceedings of the 2010 Second International Conference on Intelligent Human-Machine Systems and Cybernetics - Volume 01
Hi-index | 0.00 |
Accurate and reliable image corner matching plays an important role in various applications in computer vision, such as motion tracking, object recognition and 3D reconstruction. This paper proposes an improved image corner matching method based on both blob information and local neighbor similarity. The similarity measurement between two interest corner points is based on corresponding SIFT information, and can therefore help to achieve robust corner matching against rotation and scale changes. Experimental results demonstrate that the improved method is effective for image corner matching with significant rotation and scale changes as well as other common image corner matching conditions.