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In order to improve depth extraction accuracy, a method using moving array lenslet technique (MALT) in pickup stage is proposed, which can decrease the depth interval caused by pixelation. In this method, the lenslet array is moved along the horizontal and vertical directions simultaneously for N times in a pitch to get N sets of elemental images. Computational integral imaging reconstruction method for MALT is taken to obtain the slice images of the 3D scene, and the sum modulus (SMD) blur metric is taken on these slice images to achieve the depth information of the 3D scene. Simulation and optical experiments are carried out to verify the feasibility of this method. 相似文献
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针对水下遥操作作业时目标深度定位及水下复杂环境成像困难的问题,利用基于相机阵列的信息获取系统,使用基于深度的集成成像三维重建算法及相邻像素灰度方差评价函数,实现了一次处理可同时实现有遮挡情况下目标的深度估计及清晰成像。应用LabVIEW软件编程建立了CCD相机自动扫描阵列成像系统,对存在遮挡物的水中目标场景进行成像及深度重建实验,场景中位于不同深度的3个独立目标重建深度值与实际深度值的误差分别为0.21%、1.26%和1.34%。实验结果表明,应用该方法仅需一次重建即可去除遮挡物,并获得目标的深度值。 相似文献
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