本文關(guān)鍵詞： 增強現(xiàn)實 深度一致性 虛實融合 雙目立體匹配　出處：《沈陽工業(yè)大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：增強現(xiàn)實是目前科技信息技術(shù)應(yīng)用領(lǐng)域中熱門的話題,其技術(shù)是指將由計算機生成的虛擬信息(如圖形圖像、音頻等)與現(xiàn)實場景中的真實物體融合一體,并將融合后場景展現(xiàn)給用戶,增強用戶對現(xiàn)實環(huán)境的認(rèn)識與感受。增強現(xiàn)實技術(shù)涉及到顯示技術(shù)、圖像識別技術(shù)、圖形學(xué)、機器視覺、虛實融合遮擋等多門學(xué)科,在各個領(lǐng)域(如生活娛樂、醫(yī)療、航天等)都被廣泛應(yīng)用。隨著增強現(xiàn)實應(yīng)用領(lǐng)域的需求與相關(guān)技術(shù)的不斷研究發(fā)展,用戶關(guān)注點轉(zhuǎn)移到計算機生成的虛擬信息與真實場景的融合深度一致性問題上。在目前已有的增強現(xiàn)實系統(tǒng)中融合深度處理僅是將虛擬信息放置在二維場景圖像中,從而合成虛實物體融合場景,但這將導(dǎo)致虛實物體的深度關(guān)系無法改變,缺少空間的深度效果,最終使用戶不能感知融合后的真實感。對于上述虛實物體融合深度問題,本文經(jīng)過分析總結(jié)現(xiàn)有處理虛實物體融合深度關(guān)系的方法,并結(jié)合圖形學(xué)、計算機雙目視覺等多門學(xué)科的理論,提出了一種基于雙目攝像機的深度計算方法來解決增強現(xiàn)實中深度一致性問題。該方法首先采用基于棋盤模板對雙目立體攝像機進行雙目標(biāo)定并獲取攝像機的內(nèi)外參數(shù);其次為了實時獲取視差圖,引入動態(tài)規(guī)劃優(yōu)化方法的半全局立體匹配法SGBM(Semi-Global Block Matching)設(shè)計一種實時獲取視差圖的方法;然后利用反投影三角相似測量原理求解出三維場景物體的深度信息;最后經(jīng)過對比虛擬物體與真實場景中的物體上像素點Z軸坐標(biāo)值(深度信息)大小并判斷虛擬物體是否在真實物體輪廓內(nèi)來對場景進行渲染,進而解決了深度一致性的問題。通過實驗驗證,實時獲取的真實場景的三維深度信息的方法具有光照不變性、準(zhǔn)確性。
[Abstract]:Augmented reality is a hot topic in the field of application of science and technology information technology, which refers to the integration of virtual information generated by computer (such as graphics, images, audio, etc.) with real objects in real scenes. And the fusion scene is presented to the user to enhance the user's understanding and feeling of the real environment. The augmented reality technology involves many subjects such as display technology, image recognition technology, graphics, machine vision, virtual reality fusion occlusion and so on. It has been widely used in many fields (such as entertainment, medicine, spaceflight, etc.). The focus of user is on the consistency of fusion depth between computer generated virtual information and real scene. In the existing augmented reality system, the fusion depth processing only places the virtual information in two-dimensional scene image. Thus, the fusion scene of virtual and real objects can be synthesized, but this will lead to the immutable depth relationship of virtual and real objects, and the lack of depth effect of space, which ultimately makes the user unable to perceive the reality after fusion. For the problem of the fusion depth of virtual and real objects mentioned above, This paper analyzes and summarizes the existing methods of dealing with the relationship between the fusion depth of virtual and real objects, and combines with the theories of graphics, computer binocular vision and so on. In this paper, a depth calculation method based on binocular camera is proposed to solve the problem of depth consistency in augmented reality. Firstly, the binocular stereo camera is determined based on the board template and the internal and external parameters of the camera are obtained. Secondly, in order to obtain parallax graph in real time, the semi-global stereo matching method (SGBM(Semi-Global Block matching), which is a dynamic programming optimization method, is introduced to design a real-time parallax image acquisition method. Then the depth information of 3D scene object is solved by using the triangulation similarity measurement principle of backprojection. Finally, by comparing the size of the Z axis coordinate (depth information) of pixels on the virtual object and the object in the real scene, and judging whether the virtual object is in the contour of the real object to render the scene. Finally, the problem of depth consistency is solved. It is proved by experiments that the method of acquiring the 3D depth information of real scene in real time has the characteristics of illumination invariance and accuracy.
【學(xué)位授予單位】：沈陽工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP391.9

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