本文選題：增強現(xiàn)實　切入點：特征點提取與匹配　出處：《華中科技大學》2016年碩士論文

【摘要】：虛實注冊是增強現(xiàn)實技術需要解決的主要問題,直接決定了增強現(xiàn)實系統(tǒng)在實時性、魯棒性、運行速度和占用存儲空間等方面的性能。目前發(fā)展成熟的增強現(xiàn)實應用主要依靠識別標志物來疊加虛擬信息,在運算速度和實時性方面有較好的表現(xiàn),但使用場景有限。在基于自然特征的增強現(xiàn)實系統(tǒng)中,利用傳統(tǒng)的方法難以滿足終端應用實時重建的需求。因此如何保證自然場景注冊的精度、效率和魯棒性,成為增強現(xiàn)實應用需要著重考慮的問題。本文提出了實現(xiàn)基于自然特征的增強現(xiàn)實虛實注冊技術的新方案,旨在滿足實時性和降低內存消耗的需求,為移動增強現(xiàn)實的實現(xiàn)提供思路,并利用本文的方法理論構建了基于自然特征的增強現(xiàn)實原型系統(tǒng),證明了方案的可行性。傳統(tǒng)基于自然特征的增強現(xiàn)實系統(tǒng)對場景圖像提取特征點進行匹配,利用匹配點對重建三維點云,本文分析了主流特征點提取和描述符生成算法在速度和存儲空間占用方面的限制,提出加速分割測試特征算子(Features From Accelerated Segment Test,FAST)與局部差分二進制(Local Difference Binary,LDB)結合算法對該過程加速,其中LDB算法通過生成二進制特征點描述符大大減少描述符占用的存儲空間。系統(tǒng)分為兩個階段,離線重建階段和在線注冊階段,通過對兩個階段不同處理來降低終端設備的負擔,保證系統(tǒng)運行實時性。實驗證明該方案在重建結果相似的情況下,特征點提取速度比原來提升約3倍,匹配速度提升4倍,存儲空間占用減少66%。在虛實融合方面,系統(tǒng)存在的缺陷是簡單疊加了虛擬物體,沒有實現(xiàn)虛實遮擋。
[Abstract]:Virtual reality registration is the main problem that needs to be solved in augmented reality technology, which directly determines the performance of augmented reality system in real-time, robustness, running speed and storage space.At present, the mature application of augmented reality mainly depends on the recognition markers to stack virtual information, which has good performance in computing speed and real-time performance, but the use of the scene is limited.In the augmented reality system based on natural features, the traditional method is difficult to meet the needs of real-time reconstruction of terminal applications.Therefore, how to ensure the accuracy, efficiency and robustness of natural scene registration becomes an important problem to be considered in augmented reality applications.In this paper, a new scheme for realizing augmented reality virtual reality registration based on natural features is proposed, which aims to meet the requirements of real-time and reduce memory consumption, and to provide ideas for the realization of mobile augmented reality.An augmented reality prototype system based on natural features is constructed by using the method theory in this paper, and the feasibility of the scheme is proved.The traditional augmented reality system based on natural features matches feature points extracted from scene images and uses matching points to reconstruct 3D point clouds.In this paper, the limitations of mainstream feature point extraction and descriptor generation algorithms in terms of speed and storage space are analyzed. An accelerated test feature operator, Features From Accelerated Segment Test (FAST) and a local differential binary binary Local Difference binary LDBs (LDBs) are proposed to accelerate the process.The LDB algorithm reduces the storage space greatly by generating binary feature point descriptors.The system is divided into two stages: off-line reconstruction stage and online registration stage. The two stages are processed differently to reduce the burden of terminal equipment and ensure the real-time operation of the system.The experimental results show that the feature point extraction speed is about 3 times faster than the original one, the matching speed is 4 times higher, and the storage space consumption is reduced by 66 times when the reconstruction results are similar.In the aspect of virtual reality fusion, the defect of the system is that the virtual object is simply superimposed, and the virtual reality occlusion is not realized.
【學位授予單位】：華中科技大學
【學位級別】：碩士
【學位授予年份】：2016
【分類號】：TP391.9

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本文編號：1706499