Trace Inference, Curvature Consistency, and Curve Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonlinear total variation based noise removal algorithms
Proceedings of the eleventh annual international conference of the Center for Nonlinear Studies on Experimental mathematics : computational issues in nonlinear science: computational issues in nonlinear science
Imaging vector fields using line integral convolution
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Grouping ., -, →, 0 - , into regions, curves, and junctions
Computer Vision and Image Understanding - Special issue on perceptual organization in computer vision
International Journal of Computer Vision
Computational Framework for Segmentation and Grouping
Computational Framework for Segmentation and Grouping
Journal of Mathematical Imaging and Vision
Numerical methods for minimization problems constrained to S1 and S2
Journal of Computational Physics
An axiomatic approach to image interpolation
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Computer Vision and Image Understanding
Orientation-Matching Minimization for Image Denoising and Inpainting
International Journal of Computer Vision
Gradient field approximation: Application to registration in image processing
Journal of Computational and Applied Mathematics
Hi-index | 0.00 |
We develop an axiomatic approach of vector field interpolation, which is useful as a feature extraction preprocessing step. Two operators will be singled out: the curvature operator, appearing in the total variation minimisation for image restoration and inpainting/disocclusion, and the Absolutely Minimizing Lipschitz Extension (AMLE), already known as a robust and coherent scalar image interpolation technique if we relax slightly the axioms. Numerical results, using a multiresolution scheme, show that they produce fields in accordance with the human perception of edges.