计算机科学与探索
計算機科學與探索
계산궤과학여탐색
JOURNAL OF FRONTIERS OF COMPUTER SCIENCE & TECHNOLOGY
2013年
1期
63-73
,共11页
建筑平面图%过程式建模%矢量化%线性辨别分析(LDA)%LDA分类
建築平麵圖%過程式建模%矢量化%線性辨彆分析(LDA)%LDA分類
건축평면도%과정식건모%시양화%선성변별분석(LDA)%LDA분류
floor plan%procedure modeling%vectorization%linear discriminant analysis (LDA)%LDA classification
针对建筑平面图的栅格图像,提出了一种全自动生成三维建筑模型的轻量计算方法.应用平均积分投影函数(integral projection function,IPF)方法对光栅图像进行区域分块,有效地抽取包含墙体对象的子区域.改进了基于非细化的稀疏点像素矢量化(sparse pixel vectorization,SPV)方法,用于抽取墙体的位置和尺寸等信息.为识别出墙体上的门窗和孔洞等建筑部件,将问题转化为图像多分类问题进行求解,同时设计了高效计算方案,精确地定位建筑部件在图纸中的位置.基于识别结果,进行三维建筑模型的快速生成,并集成于笔者所开发的三维建筑快速建模原型系统,方便了三维数据的加工和处理.通过大量实例,验证了所述方法的性能和效率.该方法可用于数字城市、虚拟现实内容创作和公共安全等领域.
針對建築平麵圖的柵格圖像,提齣瞭一種全自動生成三維建築模型的輕量計算方法.應用平均積分投影函數(integral projection function,IPF)方法對光柵圖像進行區域分塊,有效地抽取包含牆體對象的子區域.改進瞭基于非細化的稀疏點像素矢量化(sparse pixel vectorization,SPV)方法,用于抽取牆體的位置和呎吋等信息.為識彆齣牆體上的門窗和孔洞等建築部件,將問題轉化為圖像多分類問題進行求解,同時設計瞭高效計算方案,精確地定位建築部件在圖紙中的位置.基于識彆結果,進行三維建築模型的快速生成,併集成于筆者所開髮的三維建築快速建模原型繫統,方便瞭三維數據的加工和處理.通過大量實例,驗證瞭所述方法的性能和效率.該方法可用于數字城市、虛擬現實內容創作和公共安全等領域.
침대건축평면도적책격도상,제출료일충전자동생성삼유건축모형적경량계산방법.응용평균적분투영함수(integral projection function,IPF)방법대광책도상진행구역분괴,유효지추취포함장체대상적자구역.개진료기우비세화적희소점상소시양화(sparse pixel vectorization,SPV)방법,용우추취장체적위치화척촌등신식.위식별출장체상적문창화공동등건축부건,장문제전화위도상다분류문제진행구해,동시설계료고효계산방안,정학지정위건축부건재도지중적위치.기우식별결과,진행삼유건축모형적쾌속생성,병집성우필자소개발적삼유건축쾌속건모원형계통,방편료삼유수거적가공화처리.통과대량실례,험증료소술방법적성능화효솔.해방법가용우수자성시、허의현실내용창작화공공안전등영역.
Aiming at the raster image of architecture floor plan, this paper presents a lightweight algorithm for auto-matically generating 3D building models. Firstly, IPF (integral projection function) is applied to split up the raster image, and effectively extract the sub-regions which contain the walls. Then, based on the improved SPV (sparse pixel vectorization) algorithm, this paper obtains information such as the location and the size of these walls. In order to identify the architectural components in the wall, like windows, doors and holes, the problem is transformed into solving image multiple classifications. And this paper proposes an efficient method to locate each architectural component in the drawing accurately, then insert them into the walls correctly. Finally, based on the identification result, the 3D building model can be generated rapidly. With the help of CEMO (conceptual and expressive modeling), a quick modeling system is developed, the 3D data will be processed conveniently as well. A large number of experiments prove that the method in this paper is robust and efficient. The method has many useful applications such as digital city, virtual reality authoring and public security planning.