本文選題：場(chǎng)景重建 + 全景圖　； 參考：《東華大學(xué)》2013年碩士論文

【摘要】：場(chǎng)景重建技術(shù)是計(jì)算機(jī)視覺的研究熱點(diǎn),隨著計(jì)算機(jī)圖形學(xué)技術(shù)的發(fā)展,以及城市規(guī)劃、房地產(chǎn)、旅游、科教、軍事等眾多領(lǐng)域?qū)μ摂M仿真、展示需求的不斷涌現(xiàn),虛擬環(huán)境系統(tǒng)得到了越來越廣泛的應(yīng)用,并呈現(xiàn)出由單一繪制手段、對(duì)單一場(chǎng)景對(duì)象進(jìn)行表現(xiàn)向多種繪制手段綜合、對(duì)大規(guī)模、多對(duì)象復(fù)雜場(chǎng)景進(jìn)行渲染發(fā)展的趨勢(shì)。與此同時(shí),現(xiàn)代信息感知、識(shí)別、傳輸和處理技術(shù)的不斷提高,要求在虛擬環(huán)境系統(tǒng)中采用更為豐富和直觀的手段對(duì)大量信息和對(duì)象進(jìn)行建模和表現(xiàn),為虛擬環(huán)境中信息的統(tǒng)一管理提供條件 本文主要研究根據(jù)移動(dòng)機(jī)器人攝像頭獲取的單張圖像和多張圖像信息實(shí)現(xiàn)單幅圖片場(chǎng)景重建和多幅圖像場(chǎng)景重建的方法。首先詳細(xì)介紹了場(chǎng)景重建技術(shù)的研究背景與研究現(xiàn)狀,從而展現(xiàn)其重要的研究意義與廣闊的應(yīng)用前景。然后對(duì)現(xiàn)有的場(chǎng)景重建方法進(jìn)行介紹與比較,并確定使用全景圖技術(shù)和滅線TIP技術(shù)來完成本次設(shè)計(jì)。本論文的主要工作成果如下： (1)構(gòu)建基于圖像幾何變換的圖像拼接理論。構(gòu)建全景圖建模整體理論,依現(xiàn)有的SIFT特征點(diǎn)提取、匹配與配準(zhǔn)方法,利用圖像幾何變換關(guān)系自動(dòng)求取理論解決圖像的平移、圖像的旋轉(zhuǎn)以及不同尺度大小圖像的拼接。 (2)滅點(diǎn)TIP圖像建模計(jì)算方法研究。依托現(xiàn)有單幅照片圖像建模方法,研究基于單滅點(diǎn)和雙滅點(diǎn)的圖像建模計(jì)算方法和重建的三維模型深度信息求取過程。 (3)構(gòu)建滅線TIP圖像建模的改進(jìn)模型。分析基于滅點(diǎn)建模方法的缺陷產(chǎn)省原因構(gòu)建滅點(diǎn)到滅線的過渡模型,提出了基于滅線建模的改進(jìn)模型,并提出基于深度計(jì)算的圖像漫游理論,實(shí)現(xiàn)滅線T工P模型漫游。 (4)全景圖與滅點(diǎn)TIP兩種圖像建模方法的結(jié)合理論研究。研究?jī)煞N方法在生成效果上存在互補(bǔ)性,實(shí)現(xiàn)全景圖與滅點(diǎn)TIP的兩個(gè)模型的平滑連接。
[Abstract]:Scene reconstruction technology is the research hotspot of computer vision. With the development of computer graphics technology and the demand for virtual simulation and display in many fields such as urban planning, real estate, tourism, science and education, military and so on, Virtual environment system has been more and more widely used, and it shows the trend that the single scene object is represented by multiple rendering methods, and the large-scale and multi-object complex scene is rendered and developed by a single rendering method. At the same time, the continuous improvement of modern information perception, recognition, transmission and processing technology requires the use of richer and more intuitive means to model and represent a large number of information and objects in the virtual environment system. This paper mainly studies the methods of single picture scene reconstruction and multiple image scene reconstruction based on single image and multiple image information obtained by mobile robot camera. Firstly, the research background and present situation of scene reconstruction technology are introduced in detail, so as to show its important research significance and broad application prospect. Then the existing scene reconstruction methods are introduced and compared, and the panoramic image technology and wire-out tip technology are used to complete the design. The main achievements of this thesis are as follows: (1) Image mosaic theory based on image geometric transformation is constructed. The whole theory of panoramic modeling is constructed. According to the existing sift feature points extraction, matching and registration, the theory of image geometric transformation is used to solve the problem of image translation automatically. The rotation of images and the stitching of images of different scales. (2) study on the modeling and calculation method of tip image with vanishing point. Based on the existing single photo image modeling methods, this paper studies the calculation method of image modeling based on single vanishing point and double vanishing point and the process of obtaining depth information of reconstructed 3D model. (3) an improved model of vanishing tip image modeling is constructed. Based on the vanishing point modeling method, the transition model from vanishing point to vanishing line is constructed, and an improved model based on vanishing line modeling is put forward, and the image roaming theory based on depth calculation is put forward. (4) A theoretical study on the combination of panoramic image and vanishing tip image modeling method. It is studied that the two methods are complementary to each other in generating effect and realize the smooth connection between the panorama and the two models of the vanishing tip.
【學(xué)位授予單位】：東華大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類號(hào)】：TP242;TP391.41

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 孫敏,陳秀萬,張飛舟,鄭宏偉;增強(qiáng)現(xiàn)實(shí)地理信息系統(tǒng)[J];北京大學(xué)學(xué)報(bào)(自然科學(xué)版);2004年06期

2 王威,周軍紅,王潤(rùn)生;多傳感器數(shù)據(jù)融合的一種方法[J];傳感器技術(shù);2003年09期

3 趙巍,毛士藝;一種像素級(jí)多傳感器圖像融合算法的研究[J];電子與信息學(xué)報(bào);2003年08期

4 王海潁;秦開懷;;一種基于多邊形柱面全景圖的虛擬漫游新方法[J];圖學(xué)學(xué)報(bào);2012年01期

5 劉貴喜;王蕾;;基于區(qū)域選擇和特征點(diǎn)匹配的圖像配準(zhǔn)算法[J];光電子.激光;2007年08期

6 蔡自興,鄒小兵;移動(dòng)機(jī)器人環(huán)境認(rèn)知理論與技術(shù)的研究[J];機(jī)器人;2004年01期

7 孫權(quán)森,曾生根,王平安,夏德深;典型相關(guān)分析的理論及其在特征融合中的應(yīng)用[J];計(jì)算機(jī)學(xué)報(bào);2005年09期

8 雷震;李東;吳玲達(dá);;基于粒子群優(yōu)化和互信息量的全景圖拼接算法[J];計(jì)算機(jī)仿真;2009年04期

9 王娟;師軍;吳憲祥;;圖像拼接技術(shù)綜述[J];計(jì)算機(jī)應(yīng)用研究;2008年07期

10 胡江華,柏連發(fā),張保民;象素級(jí)多傳感器圖像融合技術(shù)[J];南京理工大學(xué)學(xué)報(bào);1996年05期

相關(guān)碩士學(xué)位論文 前2條

1 于明言;一種基于時(shí)域和頻域特征的圖像拼接方法[D];大連理工大學(xué);2006年

2 汪華琴;基于特征點(diǎn)匹配的圖像拼接方法研究[D];華中師范大學(xué);2007年

，

本文編號(hào)：2082492