發(fā)布時(shí)間：2018-01-10 10:03

  本文關(guān)鍵詞：三維場(chǎng)景的多視點(diǎn)感知算法研究　出處：《中國(guó)科學(xué)技術(shù)大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 三維場(chǎng)景 多視點(diǎn)感知 視點(diǎn)感知度量函數(shù)

【摘要】：隨著計(jì)算機(jī)技術(shù)的飛速發(fā)展,三維模型數(shù)據(jù)庫(kù)的資源共享得以實(shí)現(xiàn)。為方便用戶快速瀏覽并查閱三維模型,數(shù)據(jù)庫(kù)往往被要求提供一個(gè)或一組預(yù)覽圖去表征一個(gè)三維模型。一組高辨別度的預(yù)覽圖可幫助用戶快速辨別其對(duì)應(yīng)的三維模型,相對(duì)地,一組低辨別度的預(yù)覽圖則會(huì)導(dǎo)致用戶的判斷出現(xiàn)差錯(cuò)。特別地,在家裝設(shè)計(jì)完成后,室內(nèi)設(shè)計(jì)師往往需要向用戶提供一組整體效果圖去感知整體家裝風(fēng)格。因此如何根據(jù)場(chǎng)景信息自適應(yīng)地得到用戶指定視點(diǎn)個(gè)數(shù)的最優(yōu)多視點(diǎn)集合,使得其不僅能夠表征三維場(chǎng)景,而且能夠給予用戶最大程度上的感知是一個(gè)重要且有意義的問(wèn)題。在三維模型感知領(lǐng)域,研究人員更多地關(guān)注于單一三維模型的視點(diǎn)選擇問(wèn)題,而其中少量關(guān)注于復(fù)雜三維場(chǎng)景模型的相關(guān)工作也僅處理最優(yōu)單視點(diǎn)的整體感知或局部感知問(wèn)題。針對(duì)現(xiàn)有工作并未考慮三維場(chǎng)景多視點(diǎn)整體感知的問(wèn)題,本文首次研究了三維場(chǎng)景多視點(diǎn)感知算法,以幫助人們盡可能地感知整個(gè)三維場(chǎng)景。針對(duì)現(xiàn)有工作中的視點(diǎn)度量算法并不適用于三維場(chǎng)景整體感知的問(wèn)題,本文定義了一個(gè)新穎的視點(diǎn)感知度量函數(shù),保證了優(yōu)化視點(diǎn)能夠覆蓋足夠多的幾何特征的同時(shí),更加貼近人們的視覺(jué)感知習(xí)慣。針對(duì)輸入的三維場(chǎng)景模型,本文首先利用三維場(chǎng)景模型中幾何與結(jié)構(gòu)信息定義了基于模型本身的度量函數(shù),其次利用視點(diǎn)對(duì)應(yīng)觀察視圖的構(gòu)圖美學(xué)信息定義了基于觀察視圖的度量函數(shù),進(jìn)而加權(quán)組合兩類度量函數(shù)并得到了一個(gè)涵蓋幾何信息、結(jié)構(gòu)信息、美學(xué)信息等感知元素的視點(diǎn)感知度量函數(shù),保證了其對(duì)應(yīng)的最優(yōu)視點(diǎn)在能夠覆蓋足夠多顯著幾何信息的基礎(chǔ)上更加貼近人們的視覺(jué)感知習(xí)慣。基于該視點(diǎn)感知度量函數(shù)與用戶指定視點(diǎn)個(gè)數(shù),本文構(gòu)建了一個(gè)多視點(diǎn)整體優(yōu)化模型,保證了多視點(diǎn)協(xié)同感知。為避免陷入局部最優(yōu),本文利用經(jīng)典的模擬退火算法對(duì)優(yōu)化模型進(jìn)行多視點(diǎn)整體優(yōu)化求解,得到最優(yōu)多視點(diǎn)集合。為驗(yàn)證本文算法的有效性與合理性,本文對(duì)實(shí)驗(yàn)結(jié)果進(jìn)行定量與定性的分析。通過(guò)與相關(guān)工作中度量函數(shù)的定量比較,證明了本文視點(diǎn)感知度量函數(shù)的有效性。通過(guò)與優(yōu)秀室內(nèi)裝修設(shè)計(jì)師人為指定的最優(yōu)視圖集合進(jìn)行定性比較,證明了本文算法的合理性。實(shí)驗(yàn)結(jié)果表明本文算法對(duì)不同類型的三維場(chǎng)景模型都可以在保證足夠多的顯著幾何特征的前提下自適應(yīng)地得到符合人們視覺(jué)感知習(xí)慣的最優(yōu)多視點(diǎn)集合。
[Abstract]:With the rapid development of computer technology, the resource sharing of 3D model database can be realized. Databases are often required to provide one or a set of previews to represent a three-dimensional model. A set of high-resolution previews can help users quickly identify their corresponding 3D models, relatively. A set of low-resolution preview plans can cause errors in the user's judgment. In particular, after the home design is complete. Interior designers often need to provide users with a set of overall effects to perceive the overall home decoration style. Therefore, how to adaptively get the optimal set of multiple views according to the scene information. It is an important and meaningful problem that it can not only represent 3D scene, but also give users maximum perception. Researchers pay more attention to the viewpoint selection of a single 3D model. A small amount of work focused on the complex 3D scene model only deals with the global perception or local perception of the optimal single view. The existing work does not consider the problem of multi-view global perception of 3D scene. In order to help people perceive the whole 3D scene as much as possible, the multi-view perception algorithm of 3D scene is studied for the first time in this paper. For the existing work, the viewpoint measurement algorithm is not suitable for the problem of overall perception of 3D scene. In this paper, a novel viewpoint perception metric function is defined to ensure that the optimal viewpoint can cover enough geometric features and be more close to people's visual perception habits. This paper firstly defines the measurement function based on the model itself by using the geometry and structure information in the 3D scene model, and then defines the measurement function based on the observation view by using the composition aesthetic information of the viewpoint corresponding observation view. Then we combine the two kinds of measurement functions and obtain a viewpoint perception measure function which covers the sensing elements such as geometry information, structure information, aesthetic information and so on. It ensures that the corresponding optimal viewpoint is closer to people's visual perception habits on the basis of covering enough significant geometric information. Based on the view perception metric function and the number of points of view specified by the user. In this paper, a multi-viewpoint global optimization model is constructed to ensure multi-viewpoint cooperative perception. In order to avoid falling into local optimum, the classical simulated annealing algorithm is used to solve the multi-viewpoint global optimization of the optimization model. To verify the validity and rationality of the proposed algorithm, the experimental results are analyzed quantitatively and qualitatively. It proves the validity of the viewpoint perception measure function in this paper. It is qualitatively compared with the optimal view set of the excellent interior decoration designer. The experimental results show that the proposed algorithm can adapt to the visual perception habits of different types of 3D scene models, while ensuring sufficient significant geometric features. The set of optimal multi-view points for.
【學(xué)位授予單位】：中國(guó)科學(xué)技術(shù)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP391.41

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