Depth extraction for 3D objects via windowing technique in computational integral imaging with a lenslet array

Abstract This paper describes a novel depth extraction method for 3D objects using the windowing technique in computational integral imaging with a lenslet array. The proposed method includes pickup through a lenslet array with a snapshot, introduction of slice image pairs obtained from the windowing technique, and extraction of depth information using block matching between the slice image pairs. Also, this paper presents a theory of how the windowing technique works for depth extraction and an analysis of how it enables us to have a depth image from low-resolution elemental images. A preliminary optical experiment indicates that the proposed method provides a substantial improvement on the depth extraction technique in computational integral imaging with a lenslet array.

[1]  Hoon Yoo Artifact analysis and image enhancement in three-dimensional computational integral imaging using smooth windowing technique. , 2011, Optics letters.

[2]  Dong-Hak Shin,et al.  Improved analysis on the signal property of computational integral imaging system. , 2007, Optics express.

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

[4]  Byung-Gook Lee,et al.  Depth extraction of three-dimensional objects using block matching for slice images in synthetic aperture integral imaging. , 2011, Applied optics.

[5]  G Passalis,et al.  Enhanced reconstruction of three-dimensional shape and texture from integral photography images. , 2007, Applied optics.

[6]  Gilbae Park,et al.  Reconstruction of three-dimensional occluded object using optical flow and triangular mesh reconstruction in integral imaging. , 2010, Optics express.

[7]  Bahram Javidi,et al.  Three-Dimensional Image Sensing, Visualization, and Processing Using Integral Imaging , 2006, Proceedings of the IEEE.

[8]  Eun-Soo Kim,et al.  Resolution-enhanced 3D image correlator using computationally reconstructed integral images , 2007 .

[9]  Joohwan Kim,et al.  Three-dimensional optical correlator using a sub-image array. , 2005, Optics express.

[10]  Eun-Soo Kim,et al.  Computational integral-imaging reconstruction-based 3-D volumetric target object recognition by using a 3-D reference object. , 2009, Applied optics.

[11]  Darius Burschka,et al.  Advances in Computational Stereo , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[12]  Bahram Javidi,et al.  Three-dimensional recognition of photon-starved events using computational integral imaging and statistical sampling. , 2009, Optics letters.

[13]  Byoungho Lee,et al.  Computational Reconstruction of Three-Dimensional Objects in Integral Imaging using Lenslet Array , 2005 .