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Three-dimensional Object Recognition based on Multiple Perspectives Imaging with Microlens Arrays

机译:基于多透视与微透镜阵列成像的三维物体识别

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An all-optical processor for three-dimensional (3D) object recognition based on integral photography is presented. The optical processor consists of two subsystems: one is a projection system of a 3D object into an array of elemental images that have different perspectives of the 3D object and the other is an optical system to perform the two-dimensional (2D) correlation between the corresponding sets of_elemental images. A 3D object is illuminated by incoherent light and then is projected into an array of elemental images by use of a microlens array. Each elemental image corresponds to a different perspective of the 3D object. The set of elemental images contain information of the 3D object as shown in integral photography method. After an optical incoherent-to-coherent conversion by an optically addressed spatial light modulator, an optical system is used to perform the correlation between the input and the reference 3D objects. We present experimental and numerical results of the recognition of 3D objects. We also show that the system can recognize a slightly rotated 3D object.
机译:提出了一种基于积分拍摄的三维(3D)对象识别的全光处理器。光学处理器由两个子系统组成:一个是3D对象的投影系统,进入具有3D对象的不同观点的元素图像阵列,另一个是用于执行二维(2D)相关的光学系统相应的of_elemental图像。 3D对象通过不连贯的光照射,然后通过使用微透镜阵列投射到元素图像阵列中。每个元素图像对应于3D对象的不同透视图。该组元素图像包含3D对象的信息,如整体拍摄方法所示。在光学寻址的空间光调制器的光学不连贯相干的转换之后,使用光学系统来执行输入和参考3D对象之间的相关性。我们呈现了识别3D对象的实验性和数值结果。我们还表明系统可以识别略微旋转的3D对象。

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