Papers by Asiri Wijesinghe
In this literature survey encompasses a detailed annotation of the novel scale and rotation invar... more In this literature survey encompasses a detailed annotation of the novel scale and rotation invariant detector and descriptor, called SURF. Initially explores the overview of the SURF approach which terribly describes how SURF approach proceeds practically. It utilizes the integral image, hessian matrix and haar wavelet responses to improve the performance in robust way. And further discusses about utilities of SURF in computer vision systems. There broadly illustrates the applications such as multiple pedestrian tracking, medical image registration, face recognition and 3D reconstruction pipeline. Afterward this study elaborates optimization of SURF via utilizing dierent methodologies such as fully ane invariant SURF, color histograms and ACO approach. Finally this survey explicates pros and cons of SURF against other similar methodologies which specically focus on SIFT, PCA-SIFT and GLOH. There in substance demonstrates contrast between illumination changes, distinctiveness, repeatability and ane transformation.
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Papers by Asiri Wijesinghe