Regularization of inverse visual problems involving discontinuities
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust estimation of three-dimensional motion parameters from a sequence of imag
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Regularized Solution to Edge Detection
A Regularized Solution to Edge Detection
Integrating Region Growing and Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using Dynamic Programming for Solving Variational Problems in Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Study of Methods of Choosing the Smoothing Parameter in Image Restoration by Regularization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Contour Decomposition Using a Constant Curvature Criterion
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Theory of Multiscale, Curvature-Based Shape Representation for Planar Curves
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Iterative Smoothed Residuals: A Low-Pass Filter for Smoothing With Controlled Shrinkage
IEEE Transactions on Pattern Analysis and Machine Intelligence
Parameter Estimation for Optimal Object Recognition: Theory andApplication
International Journal of Computer Vision
Optimal Local Weighted Averaging Methods in Contour Smoothing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Corner Detection and Interpretation on Planar Curves Using Fuzzy Reasoning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Invariant Representation and Matching of Space Curves
Journal of Intelligent and Robotic Systems
Partial Smoothing Splines for Noisy +Boundaries with Corners
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Integration of Image Segmentation Maps using Region and Edge Information
IEEE Transactions on Pattern Analysis and Machine Intelligence
On Discontinuity-Adaptive Smoothness Priors in Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
On Critical Point Detection of Digital Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Describing network traffic using the index of variability
IEEE/ACM Transactions on Networking (TON)
Arm swing identification method with template update for long term stability
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
| Hi-index | 0.15 |
The problem of estimating the properties of smooth, continuous contours from discrete, noisy samples is used as vehicle to demonstrate the robustness of cross-validated regularization applied to a vision problem. A method for estimation of contour properties based on smoothing spline approximations is presented. Generalized cross-validation is to devise an automatic algorithm for finding the optimal value of the smoothing (regularization) parameter from the data. The cross-validated smoothing splines are then used to obtain optimal estimates of the derivatives of quantized contours. Experimental results are presented which demonstrate the robustness of the method applied to the estimation of curvature of quantized contours under variable scale, rotation, and partial occlusion. These results suggest the application of generalized cross-validation to other computer-vision algorithms involving regularization.