【摘要】：針對(duì)流場可視化當(dāng)前視點(diǎn)下存在的遮擋與可能面臨的非交互式環(huán)境的問題,提出一種最優(yōu)視點(diǎn)選擇方法.首先,根據(jù)當(dāng)前視點(diǎn)下的流場行為和結(jié)構(gòu)信息及可視投影的圖像質(zhì)量,利用信息理論概念進(jìn)行最優(yōu)視點(diǎn)綜合性度量;其次,應(yīng)用可視成像的相關(guān)性對(duì)視點(diǎn)間的相似性評(píng)估,以決定兩視點(diǎn)間的最小重疊;最后,結(jié)合K均值聚類方法將相似視點(diǎn)歸為一類,每一類中視點(diǎn)熵值最高的視點(diǎn)作為最具代表性的視點(diǎn).應(yīng)用各種流場數(shù)據(jù)集進(jìn)行可視化最佳視點(diǎn)選擇實(shí)驗(yàn),給出了視點(diǎn)選擇效果圖、與其他方法的最優(yōu)視點(diǎn)效果對(duì)比圖以及選擇過程的計(jì)算時(shí)間.實(shí)驗(yàn)結(jié)果表明,該方法能夠自動(dòng)、有效地進(jìn)行最優(yōu)視點(diǎn)選擇.
[Abstract]:An optimal view selection method is proposed to solve the problems of occlusion and possible non-interactive environment under the current viewpoint of flow field visualization. Firstly, according to the flow field behavior and structure information of the current viewpoint and the image quality of the visual projection, the optimal viewpoint comprehensive measurement is carried out by using the concept of information theory. Secondly, the correlation of visual imaging is used to evaluate the similarity between viewpoints to determine the minimum overlap between the two viewpoints. Finally, the similar viewpoint is classified into a class with K-means clustering method, in which the viewpoint with the highest entropy value is regarded as the most representative viewpoint. The experiments of visual optimal view selection are carried out by using various flow field data sets, and the view selection effect diagram, the contrast diagram of the optimal view effect with other methods and the calculation time of the selection process are given. Experimental results show that the method can automatically and effectively select the optimal viewpoint.
【作者單位】： 曲阜師范大學(xué)軟件學(xué)院;中國科學(xué)院計(jì)算技術(shù)研究所虛擬現(xiàn)實(shí)實(shí)驗(yàn)室;
【基金】：國家自然科學(xué)基金(61379085) 山東省高等學(xué)�？萍加�(jì)劃(J17KA062) 教育部產(chǎn)學(xué)合作協(xié)同育人項(xiàng)目(201602028014) 曲阜師范大學(xué)實(shí)驗(yàn)室開放基金項(xiàng)目(SK201723) 國家級(jí)大學(xué)生創(chuàng)新創(chuàng)業(yè)訓(xùn)練計(jì)劃項(xiàng)目(201710446129)
【分類號(hào)】：TP391.41

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