Empirically Convergent Adaptive Estimation of Grayvalue Structure Tensors

Authors:
Markus Middendorf;Hans-Hellmut Nagel
Affiliations:
-;-
Venue:
Proceedings of the 24th DAGM Symposium on Pattern Recognition
Year:
2002

Citing 13
Cited 1

Scale-Space and Edge Detection Using Anisotropic Diffusion

IEEE Transactions on Pattern Analysis and Machine Intelligence
Multidimensional Orientation Estimation with Applications to Texture Analysis and Optical Flow

IEEE Transactions on Pattern Analysis and Machine Intelligence
Generic Neighborhood Operators

IEEE Transactions on Pattern Analysis and Machine Intelligence
Performance of optical flow techniques

International Journal of Computer Vision
Shape-adapted smoothing in estimation of 3-D depth cues from affine distortions of local 2-D brightness structure

ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
Robust computation of optical flow in a multi-scale differential framework

International Journal of Computer Vision
Reliable Estimation of Dense Optical Flow Fields with Large Displacements

International Journal of Computer Vision
Signal Processing for Computer Vision

Signal Processing for Computer Vision
Spatiotemporally Adaptive Estimation and Segmenation of OF-Fields

ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Contour Continuity in Region Based Image Segmentation

ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Computing Optic Flow by Scale-Space Integration of Normal Flow

Scale-Space '01 Proceedings of the Third International Conference on Scale-Space and Morphology in Computer Vision
Space- and Time-Variant Estimation Approaches and the Segmentation of the Resulting Optical Flow Fields

ACCV '95 Invited Session Papers from the Second Asian Conference on Computer Vision: Recent Developments in Computer Vision
Fingerprint enhancement by shape adaptation of scale-space operators with automatic scale selection

IEEE Transactions on Image Processing

Nonlinear structure tensors

Image and Vision Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

An iterative adaptation process for the estimation of a Gray-value Structure Tensor (GST) is studied experimentally: alternative adaptation rules, different parameterizations, and two convergence criteria are compared. The basic adaptation process converges for both synthetic and real image sequences in most cases towards essentially the same results even if different parameters are used. Only two identifiable local grayvalue configurations have been encountered so far where adaptation variants do not converge according to the chosen criteria.