發(fā)布時間：2018-05-15 12:27

  本文選題：三維建模 + 單幅圖像��； 參考：《浙江大學》2017年博士論文

【摘要】：三維建模是計算機圖形學研究的核心內(nèi)容之一。傳統(tǒng)的三維建模技術(shù)主要分為兩類,一類需要由專業(yè)用戶(如美工或設(shè)計師)使用專業(yè)軟件(如3DMax)來建模,另一類則需要使用專業(yè)設(shè)備(如三維激光掃描儀)來獲取場景的多幅圖像或三維信息,在此基礎(chǔ)之上構(gòu)建三維模型。這些技術(shù)不適用于普通用戶使用。本文研究了從單幅圖像輸入進行三維建模的技術(shù),不需要專業(yè)軟件、專業(yè)設(shè)備以及復雜的用戶操作,極大地方便了普通用戶使用這些技術(shù),推廣了建模算法的應(yīng)用范圍。從單幅圖像中構(gòu)建三維模型的主要困難在于輸入信息的不充分性,例如輸入圖像中只包含了單一視角下的顏色或深度信息。從這樣不充分的輸入信息中構(gòu)建出完整的三維模型通常需要大量的用戶交互。本文開展的研究通過利用從特定領(lǐng)域到通用領(lǐng)域的先驗知識,大大減少甚至徹底避免了建模過程中的用戶交互。這些工作主要由三個部分組成:·研究了以單幅矢量草圖為輸入的三維建模技術(shù)。我們以家具組裝說明書的草圖為例,提出了一套新的矢量草圖處理和建模技術(shù)。所提出的算法結(jié)合三維家具部件的幾何形狀先驗和部件之間的語義相關(guān)性先驗,從單幅矢量草圖出發(fā)成功地建模了功能正確的三維家具。更進一步的,我們結(jié)合組裝說明書不同組裝步驟的多頁草圖,提取了家具組裝的動態(tài)過程,生成了完整的三維組裝動畫,有效輔助了普通用戶自己進行家具組裝�！ぱ芯苛艘詥畏鵕GBD圖像為輸入的三維形狀補全技術(shù)。我們利用體素來表達三維物體,結(jié)合同一種類物體形狀的整體相似性和同一物體局部幾何細節(jié)的自相似性這兩個先驗知識,提出了一個新的基于體素塊匹配的全局優(yōu)化算法,可以全自動地從任意種類物體的單一視角圖像出發(fā)得到一個完整的、具有幾何細節(jié)的三維模型。在標準測試數(shù)據(jù)集和其他拍攝數(shù)據(jù)上的驗證結(jié)果說明了我們算法的有效性和魯棒性�！ぱ芯苛藦膯畏鵕GB圖像建模三維線條并利用這些三維線條輔助二維圖像變形的技術(shù)。我們首先利用投影幾何原理和視覺技術(shù)提取二維輸入圖像中的視覺敏感的三維線條信息,然后加入到傳統(tǒng)的二維變形的能量方程中并給出了新的高效的求解算法。新的變形算法有效保持了三維線條的整體信息,減少了圖像變形結(jié)果的不自然扭曲。算法的實用性和有效性在全景圖、廣角圖、強透視圖以及部分一般圖像的多種應(yīng)用中得到驗證。
[Abstract]:Three-dimensional modeling is one of the core contents of computer graphics research. Traditional 3D modeling techniques are mainly divided into two categories. One requires professional users (such as art workers or designers) to use professional software (such as 3D Max) to model. On the other hand, professional devices (such as 3D laser scanner) are used to obtain multiple images or 3D information of the scene, and the 3D model is constructed on the basis of this. These technologies are not suitable for ordinary users. In this paper, the technology of 3D modeling from single image input is studied. It does not require professional software, professional equipment and complex user operation, which greatly facilitates the ordinary users to use these techniques, and extends the application of modeling algorithm. The main difficulty of constructing 3D model from a single image is the inadequacies of input information, for example, the input image contains only the color or depth information under a single angle of view. It usually takes a lot of user interaction to build a complete 3D model from such inadequate input information. By utilizing the prior knowledge from a specific domain to a general domain, the research in this paper greatly reduces or even avoids the user interaction in the modeling process. These works are mainly composed of three parts: a 3D modeling technique with single vector sketch as input is studied. Taking the sketch of furniture assembly manual as an example, a new set of vector sketch processing and modeling techniques is proposed. Based on the prior geometric shape of the 3D furniture components and the prior semantic correlation between the components, the proposed algorithm successfully models the three dimensional furniture with correct function from a single vector sketch. Furthermore, we combined the multi-page sketches of different assembly steps of the assembly instructions, extracted the dynamic process of the furniture assembly, and generated a complete three-dimensional assembly animation. It effectively assists ordinary users to assemble furniture by themselves, and studies the 3D shape completion technique with single RGBD image as input. In this paper, we propose a new global optimization algorithm based on volume block matching, which uses volume primer to represent 3D objects, combining the two prior knowledge of the global similarity of the shape of the same object and the self-similarity of the local geometric details of the same object. A complete 3D model with geometric details can be obtained automatically from a single view image of any kind of object. The validation results on the standard test data set and other photographed data show the effectiveness and robustness of our algorithm. The technique of modeling 3D lines from a single RGB image and using these lines to assist 2D image deformation is studied. Firstly, we use the principle of projection geometry and visual technology to extract the vision-sensitive 3D line information from the two-dimensional input image, then we add it to the traditional energy equation of two-dimensional deformation and give a new efficient algorithm to solve the problem. The new algorithm effectively preserves the whole information of 3D lines and reduces the unnatural distortion of image deformation results. The practicability and validity of the algorithm are verified in many applications of panorama, wide angle, strong perspective and some general images.
【學位授予單位】：浙江大學
【學位級別】：博士
【學位授予年份】：2017
【分類號】：TP391.41

【參考文獻】

相關(guān)期刊論文 前2條

1 Yuliang Rong;Youyi Zheng;Tianjia Shao;Yin Yang;Kun Zhou;;An interactive approach for functional prototype recovery from a single RGBD image[J];Computational Visual Media;2016年01期

2 居濤;;Fixing Geometric Errors on Polygonal Models:A Survey[J];Journal of Computer Science & Technology;2009年01期

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本文編號：1892461