基于双目立体视觉技术的玉米叶片三维重建

玉米叶片的三维形态特征是衡量叶片生物学特性的重要指标，为了能够简捷、快速、准确的获得叶片的三维形态，该研究以两个位置相对固定的摄像机组成双目立体视觉系统，采用平面模板法标定摄像机内外参数，照射结构光测量玉米叶片边缘与叶脉点的三维坐标，对稀疏离散点进行Cardinal样条插值，三角面片化插值点重建出部分叶片三维曲面，旋转平移各部分三维曲面拼接成完整的叶片。试验结果表明该文所提出的方法不仅能够准确的重建玉米叶片三维结构，同时具有无损、非接触、自动化程度高等优势。

Three-dimensional reconstruction of maize leaves based on binocular stereovision system

3D structure of maize leaves is an important indicator for evaluating biological characteristics. In order to generate 3D structure of maize leaves rapidly, simply, and accurately, the authors proposed a 3D reconstruction system mainly consisting of two high resolution cameras. The chessboard was chosen to be the plane calibrating template mark, and structured light was applied in stereo matching process to calculate 3D point position. After interpolating leaf 3D points with Cardinal spline and triangulating them into surfaces, a part of leaf 3D structure could be acquired, and then translating and rotating the different parts of maize leaf to form the final complete structure. Experimental results of 3D reconstruction of maize leaves show that this method has the advantage not only of high precision but also of non-contact, non-destructive, and automatic operating process.