發(fā)布時(shí)間：2018-03-07 15:54

  本文選題：拉班舞譜　切入點(diǎn)：動(dòng)作標(biāo)準(zhǔn)庫(kù)　出處：《北京交通大學(xué)》2017年碩士論文　論文類(lèi)型：學(xué)位論文

【摘要】：拉班舞譜是一種科學(xué)的符號(hào)記譜法,類(lèi)似于音樂(lè)中的樂(lè)譜,廣泛應(yīng)用于記錄人體動(dòng)作,運(yùn)動(dòng)捕捉數(shù)據(jù)則是以數(shù)字化的形式記錄人體動(dòng)作。前者比較直觀、形象。但難于繪制。后者易于獲取,但過(guò)于抽象。因此,本論文的主要工作就是利用獲取的運(yùn)動(dòng)捕捉數(shù)據(jù),通過(guò)計(jì)算機(jī)軟件平臺(tái)實(shí)現(xiàn)拉班舞譜的自動(dòng)生成。將其應(yīng)用于我國(guó)民族舞蹈的傳承保護(hù)、動(dòng)作制作等方面。本文主要研究面向拉班舞譜自動(dòng)生成的運(yùn)動(dòng)捕捉數(shù)據(jù)分割算法,主要工作及創(chuàng)新點(diǎn)如下:(1)獲取運(yùn)動(dòng)捕捉數(shù)據(jù)。通過(guò)運(yùn)動(dòng)設(shè)備采集三維人體運(yùn)動(dòng)捕捉數(shù)據(jù),生成BVH文件。分別對(duì)文件中的關(guān)節(jié)語(yǔ)義定義部分、數(shù)據(jù)記錄部分進(jìn)行解析處理。采用四元組表示關(guān)節(jié)語(yǔ)義信息,并將數(shù)據(jù)區(qū)歐拉角表示的方位信息轉(zhuǎn)換成位置坐標(biāo)。(2)建立人體動(dòng)作標(biāo)準(zhǔn)庫(kù)。為統(tǒng)計(jì)分割準(zhǔn)確率,通過(guò)手工切割建立人體動(dòng)作標(biāo)準(zhǔn)庫(kù),客觀評(píng)價(jià)數(shù)據(jù)處理效果。目前標(biāo)準(zhǔn)庫(kù)中主要包含人體四肢動(dòng)作,仍需后續(xù)完善。(3)為提高運(yùn)動(dòng)捕捉數(shù)據(jù)分割的準(zhǔn)確性,提出基于速度閾值的改進(jìn)分割算法、基于概率核主成分分析(PPCA+KPCA)的分割算法、基于特征耦合的分割算法。第一種分割算法是在基于速度閾值分割算法的基礎(chǔ)上,加入濾波處理,降低噪聲干擾;第二種分割算法是基于聚類(lèi)降維的思想,將PPCA(Probabilistic PCA)和KPCA(Kernel PCA)算法融合處理,達(dá)到降維、降噪的目的;第三種算法對(duì)速度閾值分割處理后的特征曲線(xiàn),加入節(jié)奏信息進(jìn)行規(guī)整處理。通過(guò)與標(biāo)準(zhǔn)庫(kù)中數(shù)據(jù)作比較,統(tǒng)計(jì)分割準(zhǔn)確率,得到適用于運(yùn)動(dòng)捕捉數(shù)據(jù)分割的最優(yōu)分割算法。(4)將分割處理得到的拉班數(shù)據(jù)(LND)進(jìn)行人體姿態(tài)分析。建立人體朝向坐標(biāo)系,依據(jù)人體關(guān)節(jié)點(diǎn)與坐標(biāo)軸的偏移角度,判定人體運(yùn)動(dòng)部位的方位信息,并映射生成對(duì)應(yīng)的拉班舞譜符號(hào)。(5)本論文的最終目標(biāo)是實(shí)現(xiàn)拉班舞譜自動(dòng)生成平臺(tái)的搭建。通過(guò)編碼實(shí)現(xiàn)基于運(yùn)動(dòng)捕捉數(shù)據(jù)的拉班舞譜自動(dòng)生成,并對(duì)基于各種分割算法的舞譜生成效果圖進(jìn)行分析比較。
[Abstract]:Laban dance spectrum is a scientific notation of symbols, similar to the music score, widely used to record human actions, motion capture data is to record human movements in the form of digital, the former is more intuitive, Image. But difficult to draw. The latter is easy to get, but too abstract. Therefore, the main work of this paper is to use the captured motion capture data, The automatic generation of Laban dance spectrum is realized through the computer software platform. It is applied to the inheritance protection and motion making of Chinese folk dance. In this paper, the motion capture data segmentation algorithm for automatic generation of Laban dance spectrum is studied. The main work and innovation are as follows: 1) get motion capture data. Collect 3D human motion capture data through motion equipment, generate BVH files. In the part of data recording, the joint semantic information is represented by quaternion, and the azimuth information of Euler angle in data area is transformed into position coordinate. In order to improve the accuracy of the segmentation of motion capture data, the standard database of human body movement is established by manual cutting to objectively evaluate the effect of data processing. An improved segmentation algorithm based on velocity threshold, a segmentation algorithm based on probabilistic kernel principal component analysis (PPCA) and a feature coupling based segmentation algorithm are proposed. The second segmentation algorithm is based on the idea of clustering and dimensionality reduction, which combines the PPCA(Probabilistic algorithm and the KPCA(Kernel algorithm to reduce the dimension and noise, and the third algorithm is used to segment the characteristic curve after the speed threshold segmentation, the second algorithm is based on the idea of clustering and dimension reduction, and the algorithm combines the PPCA(Probabilistic algorithm and the KPCA(Kernel algorithm to achieve the purpose of dimension reduction and noise reduction. Add rhythm information for regular processing. By comparing with the data in the standard library, the statistical segmentation accuracy rate, An optimal segmentation algorithm suitable for motion capture data segmentation is obtained. (4) Human attitude analysis is carried out by using the Laban data (LND) obtained from the segmentation process. The human body orientation coordinate system is established, and according to the offset angle between the human body node and coordinate axis, the human body orientation coordinate system is established. To determine the position of the human body's moving position, The final goal of this paper is to build a platform for automatic generation of Laban dance spectrum, and realize the automatic generation of Laban dance spectrum based on motion capture data by coding. And based on all kinds of segmentation algorithm dance spectrum generation effect graph analysis and comparison.
【學(xué)位授予單位】：北京交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：J721;TP391.41

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本文編號(hào)：1579950