Artificial Intelligence - Special volume on computer vision
SUSAN—A New Approach to Low Level Image Processing
International Journal of Computer Vision
The Development and Comparison of Robust Methodsfor Estimating the Fundamental Matrix
International Journal of Computer Vision
Determining the Epipolar Geometry and its Uncertainty: A Review
International Journal of Computer Vision
Introduction to Robotics: Mechanics and Control
Introduction to Robotics: Mechanics and Control
Computer and Robot Vision
Mean Shift, Mode Seeking, and Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
In defence of the 8-point algorithm
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Intensity and Feature Based Stereo Matching by Disparity Parameterization
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Robust Computation and Parametrization of Multiple View Relations
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Simultaneous Two-View Epipolar Geometry Estimation and Motion Segmentation by 4D Tensor Voting
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Voting-Based Computational Framework for Visual Motion Analysis and Interpretation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Outlier rejection by oriented tracks to aid pose estimation from video
Pattern Recognition Letters
Outlier rejection for cameras on intelligent vehicles
Pattern Recognition Letters
International Journal of Computer Vision
A comprehensive survey of numeric and symbolic outlier mining techniques
Intelligent Data Analysis
A fast and effective outlier detection method for matching uncalibrated images
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Fast outlier rejection by using parallax-based rigidity constraint for epipolar geometry estimation
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
Analysis and interpretation of multiple motions through surface saliency
SCVMA'04 Proceedings of the First international conference on Spatial Coherence for Visual Motion Analysis
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We address the problem of rejecting false matches of points between two perspective views. The two views are taken from two arbitrary, unknown positions and orientations. Even the best algorithms for image matching make some mistakes and output some false matches. We present an algorithm for identification of the false matches between the views. The algorithm exploits the possibility of rotating one of the images to achieve some common behavior of the correct matches. Those matches that deviate from this common behavior turn out to be false matches. Our algorithm does not, in any way, use the image characteristics of the matched features. In particular, it avoids problems that cause the false matches in the first place. The algorithm works even in cases where the percentage of false matches is as high as 85 percent. The algorithm may be run as a postprocessing step on output from any point matching algorithm. Use of the algorithm may significantly improve the ratio of correct matches to incorrect matches. For robust estimation algorithms which are later employed, this is a very desirable quality since it reduces significantly their computational cost. We present the algorithm, identify the conditions under which it works, and present results of testing it on both synthetic and real images. The code for the algorithm is available through the World Wide Web.