Title :
3D building reconstruction based on interpretation of architectural drawings
Author :
Yang, Ruoyu ; Lu, Tong ; Cai, Shijie
Author_Institution :
State Key Lab. of Software Novel Technol., Nanjing Univ., Nanjing
Abstract :
Many existing 3D reconstruction algorithms either assume a perfect setting or focus only on rebuilding a single object. For architectural drawings, which contain many kinds of abstract information, description formats, and a large number of objects, these algorithms cannot reconstruct 3D models of entire buildings efficiently. This paper presents a new method for 3D reconstruction of buildings through interpreting three-view drawings automatically. Firstly, the feature extraction and recognition algorithm are designed for interpreting the drawings and obtaining the contours of building components. Next, special algorithms including reorientation of orthogonal views, regeneration of omitted views, and unification of coordinate systems are designed mainly based on interpretation and domain knowledge. At last, integrated 3D model of a whole building can be reconstructed and easily used in later automatic applications. Experiments showed that the method is especially efficient and appropriate for reconstruction of buildings composed of large number of components appearing in many different drawings.
Keywords :
architecture; feature extraction; image reconstruction; stereo image processing; 3D building reconstruction; architectural drawing interpretation; building component contours; coordinate system unification; description format; feature extraction; omitted view regeneration; orthogonal view reorientation; recognition algorithm; three-view drawings; Algorithm design and analysis; Buildings; Computer architecture; Engineering drawings; Graphics; Pattern recognition; Reconstruction algorithms; Shape; Steel; Variable speed drives;
Conference_Titel :
Information and Automation, 2008. ICIA 2008. International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-2183-1
Electronic_ISBN :
978-1-4244-2184-8
DOI :
10.1109/ICINFA.2008.4608235