A Research on -A Novel approach for Feature Detection and Extraction using Scale Invariant Feature Transform
| Author(s) | : | Shweta K.Holey, K.V.Warkar |
| Institution | : | MTech Student, Dept. of CSE,Bapurao Deshmukh College of Engg,Sewagram,Wardha |
| Published In | : | Vol. 5, Issue 1 — January 2018 |
| Page No. | : | 326-332 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
The goal of video deblurring is to remove the blurrness from blurry videos caused due to camera shake andobject motion during exposure.Video deblurring is performed by monitoring videos spatial and temporal changes duringvideo sequences.While most existing algorithms are able to deblur the videos well in controlled environment,they usuallyfail in the presence of significant variation of the object’s motion.There is still a need of better a algorithm fordeblurring the videos in an effective manner.The first step is the conversion of blurry video into frames for futherprocessing. In this paper,a robust approach for burst registration and feature detection and extraction using Scaleinvariant feature transform algorithm which is not affected by rotation and object scaling is proposed.
Shweta K.Holey, K.V.Warkar, “A Research on -A Novel approach for Feature Detection and Extraction using Scale Invariant Feature Transform”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 1, pp. 326-332, January 2018.
