本文選題：復雜曲面　切入點：數(shù)據(jù)配準　出處：《浙江大學學報(工學版)》2017年10期 　論文類型：期刊論文

【摘要】：針對復雜曲面物體多視角激光掃描點云數(shù)據(jù),提出從深度圖像到完整幾何模型的配準方法.根據(jù)空間點相對位置在剛體變換下的不變特性,利用曲率不變特征和歸一化零均值互相關系數(shù)構造有效的初始匹配點對數(shù)組.基于單位四元數(shù)對匹配的特征點對進行坐標變換求解,完成數(shù)據(jù)粗略配準.探討改正系數(shù)的確定方法與步驟,計算不同改正系數(shù)下的均值誤差,得到最佳改正系數(shù).運用適應性距離函數(shù)和改進迭代最近曲面片精細匹配技術,將不同視角點云在三維空間進行最優(yōu)化匹配.根據(jù)匹配結果計算配準誤差,對配準精度和速度進行統(tǒng)計分析.數(shù)值試驗結果表明,該方法在保證配準精度的前提下能夠有效地提高配準效率.
[Abstract]:A registration method from depth image to complete geometric model is proposed for multi-angle laser scanning point cloud data of complex curved surface object. According to the invariance of relative position of space point under rigid body transformation, An effective initial matching point pair array is constructed by using curvature invariant feature and normalized zero mean correlation number. The coordinate transformation of the matching feature point pair based on the unit quaternion pair is carried out. The method and procedure of determining correction coefficient are discussed, the mean error under different correction coefficient is calculated, and the best correction coefficient is obtained. The adaptive distance function and improved iterative nearest surface fine matching technique are used. The point clouds with different angles of view are optimized in 3D space. The registration errors are calculated according to the matching results, and the registration accuracy and velocity are analyzed statistically. The numerical results show that, This method can effectively improve registration efficiency on the premise of ensuring registration accuracy.
【作者單位】： 貴州財經(jīng)大學信息學院;
【基金】：國家自然科學地區(qū)基金資助項目(41261094) 貴州省科技廳科學技術基金資助項目(黔科合基礎[2016]1020) 貴州省教育廳自然科學拔尖人才基金資助項目(黔教合KY字[2016]069)
【分類號】：TN249;TP391.41

【相似文獻】

相關期刊論文 前1條

1 朱賢陽，任朗，汪文秉;雙三次B樣條曲面片擬合技術在散射場計算中的應用[J];電波科學學報;1995年03期

，

本文編號：1626684