Kim Seung-Cheol, Park Seok-Chan, Kim Eun-Soo
3D Display Research Center, Department of Electronic Engineering, Kwangwoon University, 447-1 Wolge-Dong, Nowon-Gu, Seoul 139-701, Korea.
Appl Opt. 2009 Dec 1;48(34):H95-104. doi: 10.1364/AO.48.000H95.
In this paper, we propose a novel computational integral-imaging reconstruction (CIIR)-based three-dimensional (3-D) image correlator system for the recognition of 3-D volumetric objects by employing a 3-D reference object. That is, a number of plane object images (POIs) computationally reconstructed from the 3-D reference object are used for the 3-D volumetric target recognition. In other words, simultaneous 3-D image correlations between two sets of target and reference POIs, which are depth-dependently reconstructed by using the CIIR method, are performed for effective recognition of 3-D volumetric objects in the proposed system. Successful experiments with this CIIR-based 3-D image correlator confirmed the feasibility of the proposed method.
在本文中，我们提出了一种基于新型计算积分成像重建（CIIR）的三维（3-D）图像相关器系统，该系统通过使用三维参考物体来识别三维体积物体。也就是说，从三维参考物体计算重建得到的多个平面物体图像（POI）被用于三维体积目标识别。换句话说，在所提出的系统中，通过使用CIIR方法深度相关地重建的两组目标和参考POI之间进行同步三维图像相关，以有效识别三维体积物体。基于该CIIR的三维图像相关器的成功实验证实了所提方法的可行性。
