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靜止多目視頻拼接技術(shù)研究

發(fā)布時(shí)間:2019-03-19 21:41
【摘要】:隨著計(jì)算機(jī)及攝像機(jī)等設(shè)備性能的提高,視頻獲取與處理的成本日益降低,視頻拼接漸漸在圖像拼接的基礎(chǔ)上發(fā)展起來(lái)。在監(jiān)控系統(tǒng)中利用視頻拼接技術(shù)獲得一個(gè)大場(chǎng)景、高分辨率的視頻,便于對(duì)所拍攝場(chǎng)景有一個(gè)全面的觀察,監(jiān)視。視頻拼接在生活中有廣泛重要的應(yīng)用,比如視頻會(huì)議,虛擬現(xiàn)實(shí)等。本文針對(duì)多個(gè)靜止攝像頭拍攝的同一場(chǎng)景的視頻拼接展開(kāi)研究,首先介紹了圖像與視頻的不同,并對(duì)圖片拼接的流程做了詳細(xì)的介紹,還重點(diǎn)論述了SURF特征點(diǎn)的提取過(guò)程,SURF特征點(diǎn)粗匹配的方法,使用亮度對(duì)比符加速粗匹配的方法,采用基于相似度的改進(jìn)RANSAC算法計(jì)算轉(zhuǎn)換矩陣,圖像融合,計(jì)算融合區(qū)域應(yīng)用到下次的融合中等。本文的創(chuàng)新點(diǎn)在于提出了一種基于相似度的改進(jìn)RANSAC算法,提出了一種計(jì)算圖像融合區(qū)域的新方法,并提出了一套完整的視頻融合方案,通過(guò)該方案可以實(shí)時(shí)的完成多目靜止視頻拼接,并保證拼接結(jié)果的正確性。
[Abstract]:With the improvement of the performance of computer and camera, the cost of video acquisition and processing is decreasing day by day, and video splicing is gradually developing on the basis of image splicing. In the monitoring system, video splicing technology is used to obtain a large scene, high resolution video, and it is convenient to have a comprehensive observation and monitoring of the photographed scene. Video splicing has a wide range of important applications in life, such as video conferencing, virtual reality and so on. In this paper, the video splicing of the same scene photographed by multiple still cameras is studied. Firstly, the difference between the image and the video is introduced, and the flow of image splicing is introduced in detail. The extraction process of SURF feature points is also discussed in detail. The coarse matching method of SURF feature points uses luminance contrast characters to accelerate rough matching. The improved RANSAC algorithm based on similarity is used to calculate the transformation matrix and image fusion. The fusion area is applied to the next fusion. The innovation of this paper is to propose an improved RANSAC algorithm based on similarity, a new method to calculate image fusion region, and a complete video fusion scheme. Through this scheme, the multi-object still video mosaic can be completed in real time, and the correctness of the splicing result can be guaranteed.
【學(xué)位授予單位】:北京理工大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2016
【分類號(hào)】:TP391.41

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