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基于雙目單視面的三維重建

發(fā)布時間:2018-10-23 06:59
【摘要】:以雙目立體視覺理論為基礎,采用基于模仿人眼的雙目單視面所給出的規(guī)律,設計出一套簡單的三維重建算法。為了利用雙目單視面的原理,采用兩個光軸交叉放置的相機來拍攝物體。對所得的兩幅圖片進行坐標轉(zhuǎn)換,將圖像坐標轉(zhuǎn)換為角度坐標,然后在球坐標域進行特征匹配,對得到的匹配點進行曲線擬合,將擬合得到的點轉(zhuǎn)換到空間域,進而得到目標物體的三維模型。實驗結(jié)果表明,此匹配算法可以準確確定目標物體的位置,而且此算法計算復雜度比較低,后期的數(shù)據(jù)處理采用分段匹配的方式,使得坐標轉(zhuǎn)換以后得到的目標物體的三維模型相對準確且稠密。
[Abstract]:Based on the binocular stereo vision theory, a simple 3D reconstruction algorithm is designed by using the law given by the binocular monocular visual plane based on imitating human eyes. In order to make use of the principle of binocular monoplane, a camera with two optical axes intersecting is used to photograph objects. The two images are transformed into angular coordinates, then the feature matching is carried out in the sphere coordinate domain, and the matching points are fitted by curve fitting, and the fitted points are converted to the spatial domain. Then the three-dimensional model of the target object is obtained. The experimental results show that the matching algorithm can accurately determine the location of the target object, and the computational complexity of the algorithm is relatively low. The 3D model of the target object obtained by coordinate transformation is relatively accurate and dense.
【作者單位】: 華南理工大學物理與光電學院;
【分類號】:TP391.41

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