Title
Recursive Texture Orientation Estimation Based on Space Transformation and Hypersurface Reconstruction.
Abstract
The most common scheme for estimating the orientation field of space-varying directional textures is based on a local nonlinear spatial averaging of the gradient field. This leads to locally biased orientations, especially in regions of nonlinearly distributed convergence, asymmetrically distributed curvature, or geometry superposition. In this paper, we propose an orientation estimation framework...
Year
DOI
Venue
2018
10.1109/TIP.2018.2817691
IEEE Transactions on Image Processing
Keywords
Field
DocType
Tensile stress,Estimation,Geometry,Robustness,Image reconstruction,Computational modeling,Sociology
Iterative reconstruction,Superposition principle,Flattening,Curvature,Pattern recognition,Mathematical analysis,Vector field,Hypersurface,Artificial intelligence,Structure tensor,Invariant (mathematics),Mathematics
Journal
Volume
Issue
ISSN
27
9
1057-7149
Citations 
PageRank 
References 
0
0.34
7
Authors
3
Name
Order
Citations
PageRank
Salma Doghraji100.34
Marc Donias2457.92
Y. Berthoumieu338951.66