Distance transformations in digital images
Computer Vision, Graphics, and Image Processing
Image registration by local approximation methods
Image and Vision Computing
A framework for estimation of motion parameters from range image
Computer Vision, Graphics, and Image Processing
Least-Squares Estimation of Transformation Parameters Between Two Point Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognizing solid objects by alignment with an image
International Journal of Computer Vision
Fast raster scan distance propagation on the discrete rectangular lattice
CVGIP: Image Understanding
A survey of image registration techniques
ACM Computing Surveys (CSUR)
Pattern Recognition Letters
Rigid, affine and locally affine registration of free-form surfaces
International Journal of Computer Vision
Efficient computation of the minimum Hausdorff distance for visual recognition
Efficient computation of the minimum Hausdorff distance for visual recognition
Alignment by Maximization of Mutual Information
International Journal of Computer Vision
Efficient Visual Recognition Using the Hausdorff Distance
Efficient Visual Recognition Using the Hausdorff Distance
Comparing Images Using the Hausdorff Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi-resolution image registration using multi-class Hausdorff fraction
Pattern Recognition Letters
Line feature-based recognition using Hausdorff distance
ISCV '95 Proceedings of the International Symposium on Computer Vision
Use of Hopfield Neural Network for Complex Image Registration
ICTAI '97 Proceedings of the 9th International Conference on Tools with Artificial Intelligence
A contour-based approach to multisensor image registration
IEEE Transactions on Image Processing
Calculation of effective pore diameters in porous filtration membranes with image analysis
Robotics and Computer-Integrated Manufacturing
Image registration by simulating human vision
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
Quaternion Fourier-Mellin moments for color images
Pattern Recognition
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In this paper, we propose a novel set of image features called virtual circles, and their use in an efficient image registration algorithm to find translation and scale differences. A virtual circle is a circle with maximal radius encompassing a background area that does not contain edge points. Virtual circles have a number of nice properties such as the fact that they can be extracted efficiently with the help of the distance transform from many types of images. They can also have extra information, such as their radii, which can be used for efficient registration. Furthermore, virtual circles are robust against broken or corrupt edges. On the other hand, they are vulnerable to background noise, but through the use of a heuristic called the smoothness criterion, virtual circles that are less likely to be corrupted by background noise can be selected. Another advantage of the smoothness criterion is that it reduces the number of virtual circles needed, which increases the efficiency of the algorithm.