We proposed a reconstruction method for the occluded region of three-dimensional (3D) object using the depth extraction based on the optical flow and triangular mesh reconstruction in integral imaging. The depth information of sub-images from the acquired elemental image set is extracted using the optical flow with sub-pixel accuracy, which alleviates the depth quantization problem. The extracted depth maps of sub-image array are segmented by the depth threshold from the histogram based segmentation, which is represented as the point clouds. The point clouds are projected to the viewpoint of center sub-image and reconstructed by the triangular mesh reconstruction. The experimental results support the validity of the proposed method with high accuracy of peak signal-to-noise ratio and normalized cross-correlation in 3D image recognition.
Jung J-H, Hong K, Park G, Chung I, Park J-H, Lee B. Reconstruction of three-dimensional occluded object using optical flow and triangular mesh reconstruction in integral imaging. Opt. Express [Internet]. 2010;18:26373–26387. Copy at http://j.mp/1hlk7Qw
Jung J-H, Hong K, Park J-H, Chung I, Lee B. Disparity estimation based on integral imaging in sub-pixel resolution using maximum a priori (MAP) registration, in Proc. SPIE. 7797, Optics and Photonics for Information Processing IV.; 2010:779711-779711-6. Copy at http://j.mp/1iZyazg
Jung J-H, Hong J, Park G, Hong K, Lee B. Computational reacquisition of a real three-dimensional object for integral imaging without matching of pickup and display lens array, in Proc. SPIE. 8134, Optics and Photonics for Information Processing V.; 2011:81340B-81340B-7. Copy at http://j.mp/1dVPuTr