Random Sample Consensus (RANSAC)-based Automatic (game of) Go Recording System

Automatic image registration framework for Remote Sensing Data using Harris Corner Detection and Random Sample Consensus (RANSAC) Model

Image registration is a fundamental image processing task to match and align physically two images which could have been imaged by different sensors, view angles or and at different times. It is necessary to have robust single frame image registration software especially an automated one. Automatic image registration framework overlays two images for geometric conformity aligning common feature...

A Comparative Analysis of RANSAC Techniques Leading to Adaptive Real-Time Random Sample Consensus

The Random Sample Consensus (RANSAC) algorithm is a popular tool for robust estimation problems in computer vision, primarily due to its ability to tolerate a tremendous fraction of outliers. There have been a number of recent efforts that aim to increase the efficiency of the standard RANSAC algorithm. Relatively fewer efforts, however, have been directed towards formulating RANSAC in a manner...

RANdom SAmple Consensus (RANSAC) algorithm for material-informatics: application to photovoltaic solar cells

An important aspect of chemoinformatics and material-informatics is the usage of machine learning algorithms to build Quantitative Structure Activity Relationship (QSAR) models. The RANdom SAmple Consensus (RANSAC) algorithm is a predictive modeling tool widely used in the image processing field for cleaning datasets from noise. RANSAC could be used as a "one stop shop" algorithm for developing...

Automatic Satellite Image Registration by Combination of Stereo Matching and Random Sample Consensus

In this paper, we propose a new algorithm for automated image registration or precise correction of satellite images. We assume that ground control points used previously are stored within the system. The algorithm first applies matching between the GCP chips stored and a new image to be registered and creates new control points. An automated stereo matching based on normalized cross correlatio...

IMPSAC: Synthesis of Importance Sampling and Random Sample Consensus