Signal Processing for Computer Vision
Signal Processing for Computer Vision
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
Optimization of Stereo Disparity Estimation Using the Instantaneous Frequency
CAIP '97 Proceedings of the 7th International Conference on Computer Analysis of Images and Patterns
A New Extension of Linear Signal Processing for Estimating Local Properties and Detecting Features
Mustererkennung 2000, 22. DAGM-Symposium
IEEE Transactions on Signal Processing
The Monogenic Scale-Space: A Unifying Approach to Phase-Based Image Processing in Scale-Space
Journal of Mathematical Imaging and Vision
The Monogenic Scale Space on a Rectangular Domain and its Features
International Journal of Computer Vision
Effectiveness of video object segmentation based on MPEG like motion vectors for 3D depth estimation
CI '07 Proceedings of the Third IASTED International Conference on Computational Intelligence
Optical flow estimation from monogenic phase
IWCM'04 Proceedings of the 1st international conference on Complex motion
Complex motion in environmental physics and live sciences
IWCM'04 Proceedings of the 1st international conference on Complex motion
A compact harmonic code for early vision based on anisotropic frequency channels
Computer Vision and Image Understanding
PR'05 Proceedings of the 27th DAGM conference on Pattern Recognition
Non-rigid registration using morphons
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
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Disparity estimation is a fundamental problem of computer vision. Besides other approaches, disparity estimation from phase information is a quite wide-spread technique. In the present paper, we have considered the influence of the involved quadrature filters and we have replaced them with filters based on the monogenic signal. The implemented algorithm makes use of a scale-pyramid and applies channel encoding for the representation and fusion of the estimated data. The performed experiments show a significant improvement of the results.