【摘要】：目前基于點(diǎn)云面的三維重建方法中,重建的區(qū)域性選擇存在著兩個問題:重建區(qū)域過大會導(dǎo)致目標(biāo)物體不明確,效果不佳,運(yùn)行時間長;重建區(qū)域過小會導(dǎo)致目標(biāo)物體不完整,信息丟失。針對重建窗口過大時,采用改進(jìn)的Snake的區(qū)域性重建算法,即通過輪廓提取只對窗口內(nèi)的目標(biāo)物進(jìn)行重建;針對重建窗口過小時,采用基于投影面的點(diǎn)云拼接算法,即通過重建后的點(diǎn)云進(jìn)行拼接的方法使目標(biāo)物體恢復(fù)完整。以上兩點(diǎn)改進(jìn)彌補(bǔ)了點(diǎn)云三維重建及拼接時出現(xiàn)的應(yīng)用局限性和不穩(wěn)定性,減少了重建時間,提高重建有效性,魯棒性。
[Abstract]:In the current 3D reconstruction method based on point cloud surface, there are two problems in the regional selection of reconstruction: the target object is not clear, the effect is not good, and the running time is long; If the reconstructed area is too small, the target object will be incomplete and the information will be lost. When the reconstruction window is too large, the improved regional reconstruction algorithm of Snake is adopted, that is, only the object in the window is reconstructed by contour extraction. The point cloud mosaic algorithm based on projection plane is used to reconstruct the window too small, that is to say, the target object is restored to complete by the point cloud splicing after reconstruction. The above two improvements make up for the limitation and instability of point cloud 3D reconstruction and stitching, reduce the reconstruction time, improve the effectiveness and robustness of the reconstruction.
【作者單位】： 廣西師范大學(xué)電子工程學(xué)院;廣西師范大學(xué)藥用資源化學(xué)與藥物分子工程教育部重點(diǎn)實(shí)驗(yàn)室;桂林電子科技大學(xué)廣西自動檢測技術(shù)與儀器重點(diǎn)實(shí)驗(yàn)室;
【基金】：國家自然科學(xué)基金資助項(xiàng)目(21327007) 廣西自然科學(xué)基金資助項(xiàng)目(2013GXNSFBA019278)
【分類號】：TP391.41
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本文編號：2344938