Enhanced reconstruction of partially occluded objects with occlusion removal in synthetic aperture integral imaging

2011 ◽  
Vol 9 (4) ◽  
pp. 041002-41005 ◽  
Author(s):  
周志良 Zhiliang Zhou ◽  
袁艳 Yan Yuan ◽  
相里斌 Xiangli Bin ◽  
王潜 Qian Wang
Keyword(s):  
Synthetic Aperture ◽  
Integral Imaging ◽  
Occluded Objects ◽  
Occlusion Removal ◽  
Partially Occluded

Photoelastic Analysis of Partially Occluded Objects With an Integral-Imaging Polariscope

2014 ◽  
Vol 10 (4) ◽  
pp. 255-262 ◽  
Author(s):  
Hector Navarro Fructuoso ◽  
Manuel Martinez-Corral ◽  
Genaro Saavedra Tortosa ◽  
Amparo Pons Marti ◽  
Bahram Javidi
Keyword(s):  
Integral Imaging ◽  
Occluded Objects ◽  
Photoelastic Analysis ◽  
Partially Occluded

scholarly journals Refocusing Algorithm Based on Nonlinear SAI System

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Bin Liu ◽  
Yue Luo ◽  
Yi-Hua Pan ◽  
Wen-Min Yan ◽  
Xin-Yu Zhang
Keyword(s):  
Light Field ◽  
Linear Array ◽  
Optical Field ◽  
Synthetic Aperture ◽  
Camera Array ◽  
Occluded Objects ◽  
Field Information ◽  
Different Depths ◽  
Camera Arrays ◽  
Partially Occluded

Synthetic aperture imaging (SAI) technology gets the light field information of the scene through the camera array. With the large virtual aperture, it can effectively acquire the information of the partially occluded object in the scene, and then we can focus on the arbitrary target plane corresponding to the reference perspective through the refocus algorithm. Meanwhile, objects that deviate from the plane will be blurred to varying degrees. However, when the object to be reconstructed in the scene is occluded by the complex foreground, the optical field information of the target cannot be effectively detected due to the limitation of the linear array. In order to deal with these problems, this paper proposes a nonlinear SAI method. This method can obtain the occluded object’s light field information reliably by using the nonlinear array. Experiments are designed for the nonlinear SAI, and refocusing is performed for the occluded objects with different camera arrays, different depths, and different distribution intervals. The results demonstrate that the method proposed in this paper is advanced than the traditional SAI method based on linear array.

Occlusion removal technique for improved recognition of partially occluded 3D objects in computational integral imaging

2008 ◽  
Vol 281 (18) ◽  
pp. 4589-4597 ◽  
Author(s):  
Dong-Hak Shin ◽  
Hoon Yoo ◽  
Chun-Wei Tan ◽  
Byung-Gook Lee ◽  
Joon-Jae Lee
Keyword(s):  
Integral Imaging ◽  
3D Objects ◽  
Computational Integral Imaging ◽  
Occlusion Removal ◽  
Partially Occluded ◽  
Removal Technique
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