Matoba O, Tajahuerce E, Javidi B
Appl Opt. 2001 Jul 10;40(20):3318-25. doi: 10.1364/ao.40.003318.
A novel system for recognizing three-dimensional (3D) objects by use of multiple perspectives imaging is proposed. A 3D object under incoherent illumination is projected into an array of two-dimensional (2D) elemental images by use of a microlens array. Each elemental 2D image corresponds to a different perspective of the 3D object. Multiple perspectives imaging based on integral photography has been used for 3D display. In this way, the whole set of 2D elemental images records 3D information about the input object. After an optical incoherent-to-coherent conversion, an optical processor is employed to perform the correlation between the input and the reference 3D objects. Use of micro-optics allows us to process the 3D information in real time and with a compact optical system. To the best of our knowledge this 3D processor is the first to apply the principle of integral photography to 3D image recognition. We present experimental results obtained with both a digital and an optical implementation of the system. We also show that the system can recognize a slightly out-of-plane rotated 3D object.
提出了一种利用多视角成像识别三维（3D）物体的新型系统。在非相干照明下的3D物体通过微透镜阵列投影到二维（2D）基本图像阵列中。每个基本2D图像对应于3D物体的不同视角。基于积分摄影的多视角成像已用于3D显示。通过这种方式，整个2D基本图像集记录了关于输入物体的3D信息。在进行光学非相干到相干转换后，使用光学处理器对输入的3D物体和参考3D物体进行相关性运算。微光学的使用使我们能够通过紧凑的光学系统实时处理3D信息。据我们所知，这种3D处理器是首个将积分摄影原理应用于3D图像识别的处理器。我们展示了该系统在数字和光学实现方式下获得的实验结果。我们还表明该系统能够识别稍微离面旋转的3D物体。
