【摘要】：成熟的傾斜攝影測(cè)量及密集匹配技術(shù)可獲取密集的城市點(diǎn)云,對(duì)點(diǎn)云進(jìn)行三角網(wǎng)構(gòu)建是真三維建模的關(guān)鍵技術(shù)之一。提出了基于區(qū)域生長(zhǎng)的三角網(wǎng)構(gòu)建方法,使用雙約束條件提高點(diǎn)云的搜索效率,基于點(diǎn)邊表數(shù)據(jù)結(jié)構(gòu)進(jìn)行網(wǎng)格生長(zhǎng),利用夾角約束和三角形孔洞修補(bǔ)優(yōu)化網(wǎng)格。實(shí)驗(yàn)證明,該方法獲取的三角網(wǎng)能夠準(zhǔn)確地表達(dá)樓體、橋狀建筑等在內(nèi)的城市實(shí)體,網(wǎng)格優(yōu)化后的孔洞比例約為1‰并且該方法具有一定的抗噪能力。
[Abstract]:The mature oblique photogrammetry and dense matching technology can obtain dense urban point cloud. The construction of triangulation of point cloud is one of the key techniques of true 3D modeling. A method of constructing triangular network based on region growth is proposed. The search efficiency of point cloud is improved by using double constraint condition. The mesh is grown based on the data structure of point and edge table. The mesh is optimized by angle constraint and triangle hole repair. Experimental results show that the triangular mesh obtained by this method can accurately represent urban entities, such as building body, bridge building, etc. The ratio of holes to holes after mesh optimization is about 1 鈥，

本文編號(hào)：2198134