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High-fidelity 3D plants model reconstructed based on color structured light

机译:基于色彩结构光的高保真3D植物模型重构

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In order to construct the high-precision and high-fidelity 3D plants model quickly and economically, this study present a new approach to combing the color structured light with silhouette-based method to repair the model's depth information. First, project the coded color structured light which is coded using spatial code method on the surface of the plants. And photograph the plants using two non-contract cameras from different angles. Second, we need to extract the center of the stripes and decode the structured light base on color space conversion. Then, gain the feature points using the method of color stripes matching base on epipolar constraint. Finally, calibration the camera and computation of feature points' coordinates. Reconstruct the 3D model of plants base on the feature points. Experimental results show that the method could repair the 3D model's depth information effectively.
机译:为了快速,经济地构建高精度,高保真3D植物模型,本研究提出了一种新方法,将色彩结构化光与基于轮廓的方法相结合,以修复模型的深度信息。首先,将编码后的色彩结构光投射到植物表面,该光通过空间编码方法进行编码。并使用两个非合约相机从不同角度拍摄植物。其次,我们需要提取条纹的中心,并根据色彩空间转换对结构化光进行解码。然后,利用基于对极约束的彩色条纹匹配方法获得特征点。最后,校准摄像机并计算特征点的坐标。基于特征点重建植物的3D模型。实验结果表明,该方法可以有效地修复3D模型的深度信息。

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