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Recognition of 3D objects by use of computational integral imaging reconstruction

机译:通过计算积分成像重建识别3D对象

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摘要

In this paper, a novel resolution-enhanced three-dimensional (3-D) image correlator by use of computationally reconstructed integral images is proposed to extract accurate location data of 3-D objects. Elemental images of the target and reference objects are picked up by lenslet arrays and from which, high-resolution target and reference plane images are reconstructed at the output plane by using a computational integral imaging reconstruction technique. Then, through cross-correlations between the reconstructed reference and target plane images, 3-D location data of the target objects in a scene can be robustly extracted. To show the feasibility of the proposed method, some experiments are carried out and its results are presented as well.
机译:本文提出了一种新颖的分辨率增强的三维(3-D)图像相关器,它利用计算重建的积分图像来提取3-D对象的准确位置数据。通过小透镜阵列拾取目标和参考对象的元素图像,然后使用计算积分成像重建技术在输出平面上重建高分辨率的目标和参考平面图像。然后,通过重构的参考平面图像和目标平面图像之间的互相关,可以可靠地提取场景中目标对象的3D位置数据。为了证明该方法的可行性,进行了一些实验,并给出了结果。

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