Recently, many research works are actively being done on three-dimensional (3-D) recognition using correlation method
throughout the world. To recognize the 3-D object from the target image, the reference image is needed. That is, target
image is captured using lenslet array as a form of elemental image array (EIA) by integral imaging method. Then, the
EIA is reconstructed at each depth plane as a form of plane object image (POI) using computational integral imaging
reconstruction method. Then, the correlation process is performed at all POIs with reference image. In general, twodimensional
image that is the scene from the front view of the object is used as a reference image. Thus if target has big
depth range, the reconstructed POIs are not clear at all depth range because some part is focused whereas the other ones
are blurred. Therefore, there are no POIs having clear 3-D object. In other words, it is not able to find the accurate
location of 3-D object if 2-D image is used as a reference image. Accordingly, in this paper a new method to find the
accurate location of 3-D object by using 3-D reference images that is captured by integral imaging method is proposed.
That is, the correlation process is performed the reconstructed POIs of target image and reconstructed POIs of reference
image at all depth range. To confirm the proposed method, 'car' is used as a 3-D object. From this simulation results
confirmed the feasibility of the proposed method to extract the location of 3-D object.