Effective reconstruction of a partially occluded 3-D target by using a pixel restoration scheme in computational integral-imaging

Abstract In this paper, we propose an effective approach for visibility-enhanced reconstruction of a partially occluded 3-D target by using the pixel-restoration method in the computational integral-imaging system. In the proposed method, elemental images (EIs) of the 3-D target that are partially occluded by a foreground object are picked up and transformed into sub-images (SIs). By using the block-matching algorithm then, the occluded target regions of each sub-image are estimated and removed. After that, the missing pixels in each sub-image are re-established by using the proposed pixel-restoration method. Finally, these restored SIs are converted back into the newly modified EIs, from which the resolution-enhanced target can be reconstructed with the computational integral-imaging reconstruction (CIIR) method. Successful experiments with the test objects confirm the feasibility of the proposed method.

[1]  Charles Wheatstone.  On some remarkable and hitherto unobserved phenomena of binocular vision. , 1962 .

[2]  Eun-Soo Kim,et al.  Performance-enhanced recognition of a far and partially occluded 3-D object by use of direct pixel-mapping in computational curving-effective integral imaging , 2011 .

[3]  Qiang Guo,et al.  Enhancing computational integral imaging performance using an interpolation method based on non-zero-pixel derivation. , 2010, Applied optics.

[4]  Eun-Soo Kim,et al.  Performance analysis of stereoscopic three-dimensional projection display systems , 2010 .

[5]  Dong-Hak Shin,et al.  Occlusion removal method of partially occluded 3D object using sub-image block matching in computational integral imaging. , 2008, Optics express.

[6]  Byoungho Lee,et al.  Recent researches based on integral imaging display method , 2010 .

[7]  C. Wheatstone.  XVIII. Contributions to the physiology of vision. —Part the first. On some remarkable, and hitherto unobserved, phenomena of binocular vision , 1962, Philosophical Transactions of the Royal Society of London.

[8]  Joseph Rosen,et al.  Review of three-dimensional holographic imaging by Fresnel incoherent correlation holograms , 2010 .

[9]  Eun-Soo Kim,et al.  Computational Depth Conversion of Reconstructed Three-Dimensional Object Images in Curving-Effective Integral Imaging System , 2010 .

[10]  B. Javidi,et al.  Three-dimensional visualization of partially occluded objects using integral imaging , 2005, Journal of Display Technology.

[11]  Dong-Hak Shin,et al.  Occlusion removal technique for improved recognition of partially occluded 3D objects in computational integral imaging , 2008 .

[12]  Eun-Soo Kim,et al.  Accelerated reconstruction of 3-D object images using estimated object area in backward computational integral imaging reconstruction , 2010 .

[13]  Eun-Soo Kim,et al.  Resolution-enhanced reconstruction of far 3-D objects by using a direct pixel mapping method in computational curving-effective integral imaging. , 2009, Applied optics.