Three-dimensional recognition of occluded objects by using computational integral imaging

Optics Letters
B JavidiSeung-Hyun Hong

Abstract

We have proposed a method to recognize partially occluded three-dimensional (3D) objects by using 3D volumetric reconstruction integral imaging (II). An II system captures multiple perspectives of occluded objects by using a microlens array. The reconstruction of the occluded 3D scene and target recognition are done digitally to reduce the effects of the occlusion. To verify system performance, we have implemented an optimum filter for object recognition. Both two-dimensional (2D) images and 3D II volumetric reconstructed images are considered. The correlation results of occluded 3D images for volumetric reconstruction show substantial improvements compared with those for conventional 2D imaging of occluded images.

References

Nov 15, 2004·Optics Express·Sekwon Yeom, Bahram Javidi
Apr 1, 1987·IEEE Transactions on Pattern Analysis and Machine Intelligence·M W Koch, R L Kashyap

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Citations

Feb 4, 2014·Current Opinion in Biotechnology·Ahmet F Coskun, Aydogan Ozcan
Dec 18, 2010·Optics Express·Mehdi DaneshPanahEdward A Watson
Oct 30, 2008·Optics Express·G SaavedraB Javidi
Jan 26, 2012·Optics Express·H NavarroB Javidi
Aug 16, 2018·Journal of the Optical Society of America. A, Optics, Image Science, and Vision·Xiaowei LiQiong-Hua Wang
Jan 8, 2013·Applied Optics·Yair RivensonBahram Javidi
May 26, 2012·Optics Letters·Yair RivensonJoseph Rosen
Dec 17, 2017·Optics Express·Xiaowei LiQiong-Hua Wang
Apr 4, 2015·Optics Express·Xiao-Wei Li, In-Kwon Lee
Mar 9, 2010·Journal of the Optical Society of America. A, Optics, Image Science, and Vision·Robert SchuleinBahram Javidi
Dec 24, 2011·Journal of the Optical Society of America. A, Optics, Image Science, and Vision·Zhaojin Lu, Sukhan Lee

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