本文選題：紋理映射 + 紋理修復　； 參考：《浙江大學》2017年碩士論文

【摘要】：隨著智能手機、平板電腦、頭戴顯示設(shè)備的飛速發(fā)展,增強現(xiàn)實技術(shù)得到了人們的廣泛關(guān)注。增強現(xiàn)實具有虛實融合和三維注冊等特點。因此,虛擬物體的真實感呈現(xiàn)和相機位姿的準確實時恢復是其中的兩個關(guān)鍵問題。圍繞著增強現(xiàn)實中的這兩個關(guān)鍵問題,本文深入研究了三維物體的真實感紋理生成和三維物體跟蹤注冊,分別提出了一個半自動的高質(zhì)量紋理生成方法和一個三維物體跟蹤方法,有效提高了增強現(xiàn)實應(yīng)用的用戶體驗�？傮w而言,本文的主要貢獻如下:1)對于真實感紋理生成而言,它需要解決的問題是如何產(chǎn)生更加逼真的紋理信息,然而為了保證紋理表面的光測度一致性,目前主流的全自動紋理生成方法都會不可避免地產(chǎn)生紋理失真的現(xiàn)象。為此,本文提出了一套半自動的高質(zhì)量紋理生成方法,該方法包含了自動紋理映射和交互紋理修復兩個部分,通過對現(xiàn)有紋理映射算法的優(yōu)化和加入人工的后處理流程從而可以生成更具有真實感的紋理信息。2)對于三維物體跟蹤而言,它需要解決的問題是如何穩(wěn)定地求解相機位姿,目前主流的跟蹤算法都是基于紋理信息進行特征跟蹤,然而現(xiàn)實生活中部分物體本身沒有太多的特征,甚至表面還會存在高反光,目前的特征跟蹤方法無法很好地處理這些問題。為此,本文提出了一個針對缺乏紋理信息的三維物體跟蹤算法,并將其與現(xiàn)有的SLAM系統(tǒng)進行了融合,從而實現(xiàn)了對于陌生場景中已知三維物體的穩(wěn)定跟蹤。實驗和對比結(jié)果表明,本文提出的半自動紋理生成方法可以有效提升紋理映射的質(zhì)量,同時所提出的融合跟蹤算法能夠很好地對三維物體進行跟蹤定位,可以滿足增強現(xiàn)實的應(yīng)用需求。
[Abstract]:With the rapid development of smart phones, tablets and headwear display devices, augmented reality technology has received wide attention. Augmented reality has the characteristics of virtual reality fusion and three-dimensional registration. Therefore, real-time rendering of virtual objects and accurate real-time restoration of camera pose are two key problems. Focusing on these two key problems in augmented reality, this paper studies the realistic texture generation of 3D objects and the registration of 3D objects. A semi-automatic high quality texture generation method and a 3D object tracking method are proposed, which can effectively improve the user experience in augmented reality applications. In general, the main contribution of this paper is as follows: (1) for realistic texture generation, the problem it needs to solve is how to produce more realistic texture information. However, in order to ensure the consistency of light measurement on texture surface, At present, the main automatic texture generation methods will inevitably produce the phenomenon of texture distortion. In this paper, a semi-automatic method of high quality texture generation is proposed, which includes two parts: automatic texture mapping and interactive texture repair. By optimizing the existing texture mapping algorithms and adding the artificial post-processing process to generate more realistic texture information. 2) for 3D object tracking, the problem it needs to solve is how to solve the camera pose stably. At present, the mainstream tracking algorithms are based on texture information. However, in real life, some objects do not have too many features, and even the surface will have high reflectance. The current feature tracking methods can not deal with these problems well. Therefore, this paper proposes a 3D object tracking algorithm for the lack of texture information, and combines it with the existing SLAM system to achieve the stable tracking of known 3D objects in unfamiliar scenes. The experimental and comparative results show that the proposed semi-automatic texture generation method can effectively improve the quality of texture mapping, and the fusion tracking algorithm proposed in this paper can track and locate 3D objects well. It can meet the application requirements of augmented reality.
【學位授予單位】：浙江大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP391.41

【參考文獻】

相關(guān)期刊論文 前1條

1 姜翰青;王博勝;章國鋒;鮑虎軍;;面向復雜三維場景的高質(zhì)量紋理映射[J];計算機學報;2015年12期

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本文編號：1989014