【摘要】：以雙目立體視覺(jué)理論為基礎(chǔ),采用基于模仿人眼的雙目單視面所給出的規(guī)律,設(shè)計(jì)出一套簡(jiǎn)單的三維重建算法。為了利用雙目單視面的原理,采用兩個(gè)光軸交叉放置的相機(jī)來(lái)拍攝物體。對(duì)所得的兩幅圖片進(jìn)行坐標(biāo)轉(zhuǎn)換,將圖像坐標(biāo)轉(zhuǎn)換為角度坐標(biāo),然后在球坐標(biāo)域進(jìn)行特征匹配,對(duì)得到的匹配點(diǎn)進(jìn)行曲線擬合,將擬合得到的點(diǎn)轉(zhuǎn)換到空間域,進(jìn)而得到目標(biāo)物體的三維模型。實(shí)驗(yàn)結(jié)果表明,此匹配算法可以準(zhǔn)確確定目標(biāo)物體的位置,而且此算法計(jì)算復(fù)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(biāo)轉(zhuǎn)換以后得到的目標(biāo)物體的三維模型相對(duì)準(zhǔn)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(xué)物理與光電學(xué)院;
【分類號(hào)】：TP391.41

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