Javidi Bahram, Ponce-Díaz Rodrigo, Hong Seung-Hyun
Electrical and Computer Engineering Department, University of Connecticut, Storrs, Connecticut 06269-2157, USA.
Opt Lett. 2006 Apr 15;31(8):1106-8. doi: 10.1364/ol.31.001106.
We have proposed a method to recognize partially occluded three-dimensional (3D) objects by using 3D volumetric reconstruction integral imaging (II). An II system captures multiple perspectives of occluded objects by using a microlens array. The reconstruction of the occluded 3D scene and target recognition are done digitally to reduce the effects of the occlusion. To verify system performance, we have implemented an optimum filter for object recognition. Both two-dimensional (2D) images and 3D II volumetric reconstructed images are considered. The correlation results of occluded 3D images for volumetric reconstruction show substantial improvements compared with those for conventional 2D imaging of occluded images.
我们提出了一种通过使用三维体积重建积分成像（II）来识别部分遮挡的三维（3D）物体的方法。一个积分成像系统通过使用微透镜阵列捕获被遮挡物体的多个视角。对被遮挡的3D场景进行重建并进行目标识别，均以数字方式完成，以减少遮挡的影响。为了验证系统性能，我们实现了一种用于目标识别的最优滤波器。同时考虑了二维（2D）图像和三维积分成像体积重建图像。与传统的被遮挡图像二维成像相比，体积重建的被遮挡3D图像的相关结果有显著改善。
