ROBUST SPARSE MATCHING AND MOTION ESTIMATION USING GENETIC ALGORITHMS

Robust Sparse Matching and Motion Estimation Using Genetic Algorithms

In this paper, we propose a robust technique using genetic algorithm for detecting inliers and estimating accurate motion parameters from putative correspondences containing any percentage of outliers. The proposed technique aims to increase computational efficiency and modelling accuracy in comparison with the state-of-the-art via the following contributions: i) guided generation of initial po...

Robust Estimation in Linear Regression with Molticollinearity and Sparse Models

‎One of the factors affecting the statistical analysis of the data is the presence of outliers‎. ‎The methods which are not affected by the outliers are called robust methods‎. ‎Robust regression methods are robust estimation methods of regression model parameters in the presence of outliers‎. ‎Besides outliers‎, ‎the linear dependency of regressor variables‎, ‎which is called multicollinearity...

Trends in Block-matching Motion Estimation Algorithms

Introduction The primary design objective in video compression is to minimize the average number of bits used to represent a video-sequence in digital form while maintaining sufficient video quality. The high degree of redundancy that exists between successive frames of video sequences makes it possible to achieve high compression ratios. In order to exploit the spatial and temporal redundancy ...

Robust Motion Estimation Using Spatialgabor

Fast Algorithms for Stereo Matching and Motion Estimation

This paper presents fast algorithms for similarity measure, stereo matching, panoramic stereo matching, and image motion estimation. The disparity map for the stereo images is found in the 3D correlation coefficient volume by obtaining the global 3D maximumsurface by using our two-stage dynamic programming (TSDP) technique. Fast panoramic stereo matching is carried out using a cylindrical maxim...