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

【摘要】：虛實(shí)注冊(cè)是增強(qiáng)現(xiàn)實(shí)技術(shù)需要解決的主要問題,直接決定了增強(qiáng)現(xiàn)實(shí)系統(tǒng)在實(shí)時(shí)性、魯棒性、運(yùn)行速度和占用存儲(chǔ)空間等方面的性能。目前發(fā)展成熟的增強(qiáng)現(xiàn)實(shí)應(yīng)用主要依靠識(shí)別標(biāo)志物來疊加虛擬信息,在運(yùn)算速度和實(shí)時(shí)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(qiáng)現(xiàn)實(shí)系統(tǒng)中,利用傳統(tǒng)的方法難以滿足終端應(yīng)用實(shí)時(shí)重建的需求。因此如何保證自然場景注冊(cè)的精度、效率和魯棒性,成為增強(qiáng)現(xiàn)實(shí)應(yīng)用需要著重考慮的問題。本文提出了實(shí)現(xiàn)基于自然特征的增強(qiáng)現(xiàn)實(shí)虛實(shí)注冊(cè)技術(shù)的新方案,旨在滿足實(shí)時(shí)性和降低內(nèi)存消耗的需求,為移動(dòng)增強(qiáng)現(xiàn)實(shí)的實(shí)現(xiàn)提供思路,并利用本文的方法理論構(gòu)建了基于自然特征的增強(qiáng)現(xiàn)實(shí)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(qiáng)現(xiàn)實(shí)系統(tǒng)對(duì)場景圖像提取特征點(diǎn)進(jìn)行匹配,利用匹配點(diǎn)對(duì)重建三維點(diǎn)云,本文分析了主流特征點(diǎn)提取和描述符生成算法在速度和存儲(chǔ)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(jìn)制(Local Difference Binary,LDB)結(jié)合算法對(duì)該過程加速,其中LDB算法通過生成二進(jìn)制特征點(diǎn)描述符大大減少描述符占用的存儲(chǔ)空間。系統(tǒng)分為兩個(gè)階段,離線重建階段和在線注冊(cè)階段,通過對(duì)兩個(gè)階段不同處理來降低終端設(shè)備的負(fù)擔(dān),保證系統(tǒng)運(yùn)行實(shí)時(shí)性。實(shí)驗(yàn)證明該方案在重建結(jié)果相似的情況下,特征點(diǎn)提取速度比原來提升約3倍,匹配速度提升4倍,存儲(chǔ)空間占用減少66%。在虛實(shí)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(shí)現(xiàn)虛實(shí)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(xué)位授予單位】：華中科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：TP391.9

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本文編號(hào)：1706499