Image quality improvement in computational reconstruction of partially occluded objects using two computational integral imaging reconstruction methods

Lee, Joon-Jae; Shin, Dong-Hak; Yoo, Hoon

doi:10.1016/j.optcom.2013.04.042

Cited by 5 publications

(9 citation statements)

References 21 publications

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“…For comparison, we reconstructed 3D plane images with the occlusion-removed elemental images using the CIIR method of Ref. [20], which utilized a modified CIIR method with a normalization process after occlusion removal. The performance of that CIIR method is very sensitive to the occlusion pattern, and thus may produce serious image errors if the occlusion is heavy or complex.…”

Section: Experiments and Resultsmentioning

confidence: 99%

“…To do so, we use both an occlusion removal technique [20] and an image inpainting technique [21] to generate modified elemental images without occlusion. The proposed method is mainly composed of four different processes, as shown in Fig.…”

Section: Ciir Methods Using Image Inpaintingmentioning

confidence: 99%

“…Here we want to estimate the position of the occlusion to generate the weight mask pattern used in the next process. To do this, the occlusion is estimated by the method in [20], which uses two different kinds of CIIR. In this method two different sets of plane images are generated, and the absolute differences between the two plane images are calculated.…”

Section: Estimation Of the Occluded Areamentioning

confidence: 99%

“…In CIIR, the elemental images are digitally processed using a computer, by which 3D images can be easily reconstructed at a desired reconstruction plane. This CII approach is very useful in the visualization and recognition of 3D objects which are partially occluded by interposed objects [13][14][15][16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

“…This may prevent us from obtaining good visual quality in the reconstructed images. In 2010, Jung et al proposed an interesting reconstruction method for occlusion holes using optical flow and triangular mesh reconstruction [20]. However, even though reconstructed images can be obtained with high accuracy, the depth extraction algorithm is quite complex because it consists of image rectification, image sequence generation, depth segmentation, depth extraction, and triangular mesh reconstruction.…”

Section: Introductionmentioning

confidence: 99%

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Computational Integral Imaging Reconstruction of a Partially Occluded Three-Dimensional Object Using an Image Inpainting Technique

Lee¹,

Ko²,

Lee³

et al. 2015

Journal of the Optical Society of Korea

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In this paper we propose an improved version of the computational integral imaging reconstruction (CIIR) for visualizing a partially occluded object by utilizing an image inpainting technique. In the proposed method the elemental images for a partially occluded three-dimensional (3D) object are recorded through the integral imaging pickup process. Next, the depth of occlusion within the elemental images is estimated using two different CIIR methods, and the weight mask pattern for occlusion is generated. After that, we apply our image inpainting technique to the recorded elemental images to fill in the occluding area with reliable data, using information from neighboring pixels. Finally, the inpainted elemental images for the occluded region are reconstructed using the CIIR process. To verify the validity of the proposed system, we carry out preliminary experiments in which faces are the objects. The experimental results reveal that the proposed system can dramatically improve the quality of a reconstructed CIIR image.

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Section: Experiments and Resultsmentioning

confidence: 99%

Section: Ciir Methods Using Image Inpaintingmentioning

confidence: 99%

Section: Estimation Of the Occluded Areamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Computational Integral Imaging Reconstruction of a Partially Occluded Three-Dimensional Object Using an Image Inpainting Technique

Lee¹,

Ko²,

Lee³

et al. 2015

Journal of the Optical Society of Korea

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Elemental pattern capture method for realizing Glass moiré patterns

Huang

Fan

et al. 2020

Optics Communications

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Separation of foreground and background from light field using gradient information

Lee

Park

2017

Appl. Opt.

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Studies of computer vision or machine vision applications using a light field camera have been increasing in recent years. However, the abilities that the light field camera has are not fully used in these applications. In this paper, we propose a method for direct separation of foreground and background that uses the gradient information and can be used in various applications such as pre-processing. From an optical phenomenon whereby the bundles of rays from the background are flipped, we derive that the disparity sign of the background in the captured three-dimensional scene has the opposite disparity sign of the foreground. Using the majority-weighted voting algorithm based on the gradient information with the Lambertian assumption and the gradient constraint, the foreground and background can be separated at each pixel. In regard to pre-processing, the proposed method can be used for various applications such as occlusion and saliency detection, disparity estimation, and so on. Experimental results with the EPFL light field dataset and Stanford Lytro light field dataset show that the proposed method achieves better performance in terms of the occlusion detection, and thus can be effectively used in pre-processing for saliency detection and disparity estimation.

show abstract

Image quality improvement in computational reconstruction of partially occluded objects using two computational integral imaging reconstruction methods

Cited by 5 publications

References 21 publications

Computational Integral Imaging Reconstruction of a Partially Occluded Three-Dimensional Object Using an Image Inpainting Technique

Computational Integral Imaging Reconstruction of a Partially Occluded Three-Dimensional Object Using an Image Inpainting Technique

Elemental pattern capture method for realizing Glass moiré patterns

Separation of foreground and background from light field using gradient information

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