Multiscale Point Correspondence Using Feature Distribution and Frequency Domain Alignment
In this paper, a hybrid scheme is proposed to find the reliable point-correspondences between two images, which combines the distribution of invariant spatial feature description and frequency domain alignment based on two-stage coarse to fine refinement strategy. Firstly, the source and the target...
Main Authors: | Zeng-Shun Zhao, Xiang Feng, Sheng-Hua Teng, Yi-Bin Li, Chang-Shui Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2012-01-01
|
Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2012/382369 |
Similar Items
-
Building Recognition on Subregion’s Multiscale Gist Feature Extraction and Corresponding Columns Information Based Dimensionality Reduction
by: Bin Li, et al.
Published: (2014-01-01) -
Gearbox Fault Diagnosis Using Multiscale Sparse Frequency-Frequency Distributions
by: Luke Zhang, et al.
Published: (2021-01-01) -
Multiscale registration algorithm for alignment of meshes
Published: () -
Reconstruction of undersampled signals and alignment in the frequency domain
by: Simpson, David M.
Published: (1988) -
Entropy-of-likelihood feature point selection for image correspondence
by: Toews, Matthew
Published: (2004)