Product Description
A Novel Point-Matching Algorithm Based on Fast Sample Consensus for Image Registration
Abstract— A Novel Point-Matching Algorithm Based on Fast Sample Consensus for Image Registration. Robustness and accuracy are the two main challenging problems in feature-based remote sensing image registration. In this letter, a novel point-matching algorithm is proposed. An improved random sample consensus (RANSAC) algorithm called ast < Final Year Projects 2016 >sample consensus (FSC) is proposed. It divides the data set in RANSAC into two parts: the sample set and the consensus set. Sample set has high correct rate and consensus set has a large number of correct matches. An iterative method is put forward to increase the number of correct correspondences. A set of measures has been used to evaluate the registration result.
Including Packages
Our Specialization
Support Service
Statistical Report
![A Novel Point-Matching Algorithm Based On Fast Sample Consensus For Image Registration 5 110](https://myprojectbazaar.com/wp-content/uploads/2013/12/110.jpg)
satisfied customers
3,589![A Novel Point-Matching Algorithm Based On Fast Sample Consensus For Image Registration 6 25](https://myprojectbazaar.com/wp-content/uploads/2013/12/25.jpg)
Freelance projects
983![A Novel Point-Matching Algorithm Based On Fast Sample Consensus For Image Registration 7 311](https://myprojectbazaar.com/wp-content/uploads/2013/12/311.jpg)
sales on Site
11,021![A Novel Point-Matching Algorithm Based On Fast Sample Consensus For Image Registration 8 41](https://myprojectbazaar.com/wp-content/uploads/2013/12/41.jpg)
developers
175+
There are no reviews yet