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Study on Video Mosaic for Large View

Author: YinXingHua
Tutor: YuanGuoDong
School: Beijing University of Chemical Technology
Course: Applied Computer Technology
Keywords: Video splicing Video frame alignment SIFT RANSAC algorithm Image fusion Video framing
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 148
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Abstract


The large field of view video splicing technology accordance with certain rules set multiple cameras , each camera to get video , and then the resulting video splicing into a large field of view of the relatively large field of view video technology . The large field of view video splicing techniques in computer graphics , a hot topic in the field of virtual reality technology is widely used in multimedia presentations , video surveillance and other aspects . The existing large field of view video splicing method requires the use the synchronization triggers to the start of the synchronized video capture device , which affects the scope of application of the large field of view video splicing equipment . Traditional video mosaic method in terms of time efficiency can also be improved. This paper studies the large field of view based on dual camera video stitching technology , discover a software method to achieve the synchronization trigger function , to eliminate the limit of the the synchronization trigger on the video splicing applications , video splicing combined with the characteristics of the traditional algorithm research in order to improve the time efficiency of the traditional algorithms . The main contents are as follows: (1) design and implementation of an automated video frame alignment , video frame from the software , which eliminates the dependence of the synchronization triggers for traditional video mosaic , large field of view video splicing technology ease of use and scope of use. (2) In order to meet the requirements of the video mosaic , traditional RANSAC algorithm purified on a large number of matching data , need to build a large number of verification model , resulting in a time-consuming . Put forward an improved RANSAC algorithm for this problem , compared to the traditional RANSAC algorithm , effectively improve the time efficiency . After the study, one for dual - camera video frame alignment method, which in certain preconditions automatic alignment of the video frame image , thus eliminating the synchronization trigger restrictions on video splicing . Through in-depth study of the splicing algorithm , combined with the characteristics of the video splicing RANSAC algorithm used to improve improved RANSAC method . After a large number of experiments , verified by comparison with the traditional algorithm , the proposed and the effect of the improved method and performance .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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