Video mosaic algorithm based on improved random sample consensus algorithm

In order to solve problems of seam and ghosting in real-time video mosaics, a video mosaic algorithm based on improved random sample consenus (RANSAC) algorithm was proposed. Firstly, speed-up robust features algorithm is used to extract feature points and find matching feature points in the overlap...

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Bibliographic Details
Published inGong kuang zi dong hua = Industry and mine automation Vol. 43; no. 8; pp. 50 - 55
Main Authors CHENG Deqiang, LI Hang, HUANG Xiaoli, TU Yilei, YOU Dalei
Format Journal Article
LanguageChinese
Published Editorial Department of Industry and Mine Automation 01.08.2017
Subjects
dynamic fusio
optimal homography matrix
panoramic image
ramdom sample consenus algorithm
speed-up robust features algorithm
video mosaic
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Summary:In order to solve problems of seam and ghosting in real-time video mosaics, a video mosaic algorithm based on improved random sample consenus (RANSAC) algorithm was proposed. Firstly, speed-up robust features algorithm is used to extract feature points and find matching feature points in the overlapping area of binocular camera. Then, the improved RANSAC algorithm is adopted to remove the mismatched point pairs and obtain the optimal homography matrix. Finally, the pixels in overlapping areas are processed by dynamic fusion. The experiment results show that using the proposed algorithm can effectively eliminate the seam and ghosting in the video overlapping area, and also ensure real-time performance of the video mosaic system.
ISSN:1671-251X
DOI:10.13272/j.issn.1671-251x.2017.08.010