计算机工程与应用2011，Vol.47Issue(1)：201-204,237,5.DOI:10.3778/j.issn.1002-8331.2011.01.057
多尺度分解及信号融合的3D模型重构
3D model reconstruction based on multiscale decomposition and signal fusion
摘要
Abstract
An improved method based on empirical mode decomposition and signal fusion to reconstruct the geometry model is presented.Firstly, different three-dimension signals are spherically parameterized, transformed to the plane signal and sampled regularly;then the translated signals are decomposed by EMD and waevlet decomposition. The decomposed signals are fused as an image using detail components called Intrinsic Mode Function(IMF) decomposed by EMI and wavelet coefficients by wavelet;At last,the two-dimension signal is inversely mapped to geometry signal. One indicator for three-dimension geometry signal fusion based on SNR is proposed to test the reconstructed model. The rusults show that this method can fuse geometry model efficiently and the effect by EMD is better than that of wavelet.关键词
三维几何信号融合/经验模式分解(EMD)/球面参数化/信噪比Key words
three-dimension geometry signal fusion/ Empirical Mode Decomposition/ spherical parameterization/ Signal to Noise Ratio(SNR)分类
信息技术与安全科学引用本文复制引用
张成堡,王孝通,徐晓刚,徐冠雷,王建国..多尺度分解及信号融合的3D模型重构[J].计算机工程与应用,2011,47(1):201-204,237,5.基金项目
国家自然科学基金(the National Natural Science Foundation of China under Grant No.60975016) （the National Natural Science Foundation of China under Grant No.60975016）
辽宁省自然科学基金(the Natural Science Foundation of Liaoning Province of China under Grant No.20082176) （the Natural Science Foundation of Liaoning Province of China under Grant No.20082176）
浙江大学CAD&CG国家重点实验室开放基金(No.A0906). （No.A0906）
