A Novel and Effective Cooperative RANSAC Image Matching Method Using Geometry Histogram-Based Constructed Reduced Correspondence Set
The success of many computer vision and pattern recognition applications depends on matching local features on two or more images. Because the initial correspondence set—i.e., the set of the initial feature pairs—is often contaminated by mismatches, removing mismatches is a necessary task prior to i...
Main Authors: | Kuo-Liang Chung, Ya-Chi Tseng, Hsuan-Ying Chen |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-07-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/14/14/3256 |
Similar Items
-
An Improved RANSAC Outlier Rejection Method for UAV-Derived Point Cloud
by: Bahram Salehi, et al.
Published: (2022-10-01) -
Structural Analysis and Paleostress Evolution in the Imiter Silver Mining Region, Eastern Anti Atlas, Morocco: Implications for Mineral Exploration
by: Youssef Atif, et al.
Published: (2022-12-01) -
Fast mosaicing method based on image resizing pre-processing
by: Abderrahmane Laraqui, et al.
Published: (2023-03-01) -
On asymptotically optimal tests of composite hypotheses /
by: 302328 Moran, P. A. P. -
Pragmatic Hypotheses in the Evolution of Science
by: Luis Gustavo Esteves, et al.
Published: (2019-09-01)