计算机辅助设计与图形学学报
計算機輔助設計與圖形學學報
계산궤보조설계여도형학학보
Journal of Computer-Aided Design & Computer Graphics
2015年
9期
1675-1685
,共11页
王琪瑞%陶煜波%周志光%丁治宇%林海
王琪瑞%陶煜波%週誌光%丁治宇%林海
왕기서%도욱파%주지광%정치우%림해
多体数据%语义透镜%聚焦和上下文%科学可视化%交互设计
多體數據%語義透鏡%聚焦和上下文%科學可視化%交互設計
다체수거%어의투경%취초화상하문%과학가시화%교호설계
multi-volume data%semantic lens%focus and context%scientific visualization%interaction design
在多体数据可视化中, 并列视图的绘制方法往往存在空间位置不够直观和特征差异难以追踪等问题, 而单一视图融合的绘制方法则会引发内部特征相互遮挡和可视化结果不易理解等问题. 为此提出一种面向多体数据特征的可视化及分析工具, 即语义透镜. 首先结合体数据的多维属性分析设计语义列表, 建立高层语义描述如大小、形状等与底层多维传输函数之间的关联, 由用户根据需求交互设定语义透镜内外感兴趣特征; 为实现透镜内外特征的平缓过渡, 利用色彩感知理论度量融合颜色的正确感知度, 自适应地推荐基于颜色或结构采样的特征融合方案, 在过渡区域对透镜内外特征进行融合绘制; 最后根据透镜的深度位置只聚焦透镜后的光线, 在放大特定深度位置后的感兴趣特征的同时保持上下文特征的大小. 文中利用语义透镜对多特征单体, 多模态和多变量 3 种类型实验数据进行交互式探索, 使用户在同一视图中聚焦分析多体特征, 同时避免特征遮挡和融合带来的理解与分析障碍; 可视化对比结果及用户反馈进一步验证了语义透镜的有效性和实用性.
在多體數據可視化中, 併列視圖的繪製方法往往存在空間位置不夠直觀和特徵差異難以追蹤等問題, 而單一視圖融閤的繪製方法則會引髮內部特徵相互遮擋和可視化結果不易理解等問題. 為此提齣一種麵嚮多體數據特徵的可視化及分析工具, 即語義透鏡. 首先結閤體數據的多維屬性分析設計語義列錶, 建立高層語義描述如大小、形狀等與底層多維傳輸函數之間的關聯, 由用戶根據需求交互設定語義透鏡內外感興趣特徵; 為實現透鏡內外特徵的平緩過渡, 利用色綵感知理論度量融閤顏色的正確感知度, 自適應地推薦基于顏色或結構採樣的特徵融閤方案, 在過渡區域對透鏡內外特徵進行融閤繪製; 最後根據透鏡的深度位置隻聚焦透鏡後的光線, 在放大特定深度位置後的感興趣特徵的同時保持上下文特徵的大小. 文中利用語義透鏡對多特徵單體, 多模態和多變量 3 種類型實驗數據進行交互式探索, 使用戶在同一視圖中聚焦分析多體特徵, 同時避免特徵遮擋和融閤帶來的理解與分析障礙; 可視化對比結果及用戶反饋進一步驗證瞭語義透鏡的有效性和實用性.
재다체수거가시화중, 병렬시도적회제방법왕왕존재공간위치불구직관화특정차이난이추종등문제, 이단일시도융합적회제방법칙회인발내부특정상호차당화가시화결과불역리해등문제. 위차제출일충면향다체수거특정적가시화급분석공구, 즉어의투경. 수선결합체수거적다유속성분석설계어의렬표, 건립고층어의묘술여대소、형상등여저층다유전수함수지간적관련, 유용호근거수구교호설정어의투경내외감흥취특정; 위실현투경내외특정적평완과도, 이용색채감지이론도량융합안색적정학감지도, 자괄응지추천기우안색혹결구채양적특정융합방안, 재과도구역대투경내외특정진행융합회제; 최후근거투경적심도위치지취초투경후적광선, 재방대특정심도위치후적감흥취특정적동시보지상하문특정적대소. 문중이용어의투경대다특정단체, 다모태화다변량 3 충류형실험수거진행교호식탐색, 사용호재동일시도중취초분석다체특정, 동시피면특정차당화융합대래적리해여분석장애; 가시화대비결과급용호반궤진일보험증료어의투경적유효성화실용성.
In multi-volume visualization, adjacent views have difficulties in establishing spatial correspon-dences and recognizing differences between features, while integrated views may cause occlusions between features and make the visualization not easy to understand. This paper presents a semantic lens, a tool for visualizing and inspecting multiple volumes interactively. First, a semantic list is designed using multiple attributes of volumes to establish the relationship between the semantic descriptions, such as size and shape, and multi-dimensional transfer functions, and then the user can interactively define the features inside and outside the lens on demand. To connect features from outside to inner, the correct perception of the fused color is evaluated based on the color perception theory. Then, the structure fusion or color fusion is recom-mended to integrate different features in the transition region. Finally, the directions of rays only behind the lens are modified and go through the focal point. Thus, the feature at a specific depth will be magnified while other features before the lens remain the original size. We use the semantic lens to interactively inspect and analyze three different types of data: multi-feature single volumes, multi-modal and multi-variant vol-umes. A large number of comparison results further demonstrate the effectiveness and practicability of the tool, along with the evaluation and feedback from users.