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Artificial Intelligence
Model-based image matching using location
Model-based image matching using location
Matrix analysis
Stability radii of linear systems
Systems & Control Letters
Optical Flow Estimation: An Error Analysis of Gradient-Based Methods with Local Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence
On condition numbers and the distance to the nearest III-posted problem
Numerische Mathematik
The sensitivity of the stable Lyapunov equation
SIAM Journal on Control and Optimization
The algebraic eigenvalue problem
The algebraic eigenvalue problem
The sensitivity of the algebraic and differential riccati equations
SIAM Journal on Control and Optimization
A survey of image registration techniques
ACM Computing Surveys (CSUR)
Small-sample statistical condition estimates for general matrix functions
SIAM Journal on Scientific Computing
Computing occluding and transparent motions
International Journal of Computer Vision
Performance of optical flow techniques
International Journal of Computer Vision
The computation of optical flow
ACM Computing Surveys (CSUR)
Error Analysis of Direct Methods of Matrix Inversion
Journal of the ACM (JACM)
Evaluation of Interest Point Detectors
International Journal of Computer Vision - Special issue on a special section on visual surveillance
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Robot Vision
Introductory Techniques for 3-D Computer Vision
Introductory Techniques for 3-D Computer Vision
Computer and Robot Vision
Hierarchical Model-Based Motion Estimation
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Control Point Assessment for Image Registration
SIBGRAPI '99 Proceedings of the XII Brazilian Symposium on Computer Graphics and Image Processing
Making Good Features Track Better
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Robust Multi-Sensor Image Alignment
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
A contour-based approach to multisensor image registration
IEEE Transactions on Image Processing
A Statistics-Based Approach to Binary Image Registration with Uncertainty Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Local invariant feature detectors: a survey
Foundations and Trends® in Computer Graphics and Vision
Corner detection based on gradient correlation matrices of planar curves
Pattern Recognition
Comparison of point matching algorithms for the UAV aerial refueling problem
Machine Vision and Applications
On interest point detection under a landmark-based medical image registration context
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Machine learning for high-speed corner detection
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Fast panoramic image generation method using morphological corner detection
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part I
Enhancing the point feature tracker by adaptive modelling of the feature support
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Context-aware features and robust image representations
Journal of Visual Communication and Image Representation
ReigSAC: fast discrimination of spurious keypoint correspondences on planar surfaces
Machine Vision and Applications
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Selecting salient points from two or more images for computing correspondence is a well-studied problem in image analysis. This paper describes a new and effective technique for selecting these tiepoints using condition numbers, with application to image registration and mosaicking. Condition numbers are derived for point-matching methods based on minimizing windowed objective functions for 1) translation, 2) rotation-scaling-translation (RST), and 3) affine transformations. Our principal result is that the condition numbers satisfy K_Trans \leq K_RST \leq K_Affine. That is, if a point is ill-conditioned with respect to point-matching via translation, then it is also unsuited for matching with respect to RST and affine transforms. This is fortunate since K_Trans is easily computed whereas K_RST and K_Affine are not. The second half of the paper applies the condition estimation results to the problem of identifying tiepoints in pairs of images for the purpose of registration. Once these points have been matched (after culling outliers using a RANSAC-like procedure), the registration parameters are computed. The postregistration error between the reference image and the stabilized image is then estimated by evaluating the translation between these images at points exhibiting good conditioning with respect to translation. The proposed method of tiepoint selection and matching using condition number provides a reliable basis for registration. The method has been tested on a large number of diverse collection of images驴multidate Landsat images, aerial images, aerial videos, and infrared images. A Web site where the users can try our registration software is available and is being actively used by researchers around the world.