Integral imaging techniques for flexible sensing through image-based reprojection

Sotoca, José Martínez; Carmona, Pedro; Pla, Filiberto; Shen, Xin; Komatsu, Setsuko; Javidi, Bahram

doi:10.1364/josaa.34.001776

Cited by 4 publications

(2 citation statements)

References 29 publications

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“…This 3D reconstruction scheme with SAII can be carried out in the case where the cameras are located on a flat surface [25], but also in the case where the positions of those cameras are spread or in a free pose configuration in 3D space [33]- [35].…”

Section: Photo-consistency Based On Median Distancesmentioning

confidence: 99%

“…In [28] and [37] the use of a photo-consistency measure is proposed by combining a defocus and a correspondence measure in a light-field camera. This measure, made by these two terms, was extended to the case of SAII in [24] and [33]. The defocus measure allows for an optimal contrast to be obtained in a certain patch of the image with the aim to improve stability over occluded regions.…”

Section: B Depth Map and All-in-focus Reconstruction For Median Distmentioning

confidence: 99%

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Depth and All-in-Focus Image Estimation in Synthetic Aperture Integral Imaging Under Partial Occlusions

et al. 2019

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A common assumption in the integral imaging reconstruction is that a pixel will be photoconsistent if all viewpoints observed by the different cameras converge at a single point when focusing at the proper depth. However, the presence of occlusions between objects in the scene prevents this from being fulfilled. In this paper, a novel depth and all-in focus image estimation method is presented, based on a photo-consistency measure that uses the median criterion in relation to the elemental images. The interest of this approach is to find a solution to detect which camera correctly sees the partially occluded object at a certain depth and allows for a precise solution to the object depth. In addition, a robust solution is proposed to detect the boundary limits between partially occluded objects, which are subsequently used during the regularization depth estimation process. The experimental results show that the proposed method outperforms other state-of-the-art depth estimation methods in a synthetic aperture integral imaging framework. INDEX TERMS Synthetic aperture integral imaging, depth map estimation, all-in-focus image, partial occlusions, 3D image processing.

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Section: Photo-consistency Based On Median Distancesmentioning

confidence: 99%

Section: B Depth Map and All-in-focus Reconstruction For Median Distmentioning

confidence: 99%

Depth and All-in-Focus Image Estimation in Synthetic Aperture Integral Imaging Under Partial Occlusions

et al. 2019

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An overview of flexible sensing integral imaging for three-dimensional profilometric reconstruction with occlusion removal

Shen¹,

Markman²,

Javidi³

2018

Three-Dimensional Imaging, Visualization, and Display 2018

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Compact broadband high-resolution real-time four-dimensional imaging spectrometer

Yang

2024

Appl. Opt.

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A broadband high-resolution real-time four-dimensional imaging spectrometer (HRRFDIS) is presented, which can acquire both broadband fine spectra and high-resolution three-dimensional (3D) spatial images of a 3D object in real time. The HRRFDIS consists of a first microlens array arranged in a plane to achieve orthographic view spatial imaging, a second microlens array arranged on a conical surface to measure the depth and to achieve 360-degree side-view spatial imaging, multiple optical fibers, a collimating microlens array arranged in a straight line, a parallel planar transmission grating pair to obtain high spectral resolution over a broadband spectral range, and an area-array detector. Compared with the scanning four-dimensional imaging spectrometer (FDIS), the HRRFDIS can obtain a broadband high-resolution four-dimensional dataset using only one frame of data, and it is more stable, compact, small-sized, and lightweight. Compared to the staring FDIS using a liquid crystal filter and requiring at least one modulation period of liquid crystal to acquire a complete hyperspectral image, the HRRFDIS can acquire a complete broadband hyperspectral image in real time. Compared to existing snapshot FDIS, the HRRFDIS can achieve much higher spectral resolution, especially over a broadband spectral range. The HRRFDIS is a unique concept that is the first to obtain both high-resolution broadband spectral information and high-resolution 3D spatial information in real time, to the best of our knowledge. The HRRFDIS will be suitable for real-time measurement of 3D objects in the ultraviolet to infrared spectral range.

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Integral imaging techniques for flexible sensing through image-based reprojection

Cited by 4 publications

References 29 publications

Depth and All-in-Focus Image Estimation in Synthetic Aperture Integral Imaging Under Partial Occlusions

Depth and All-in-Focus Image Estimation in Synthetic Aperture Integral Imaging Under Partial Occlusions

An overview of flexible sensing integral imaging for three-dimensional profilometric reconstruction with occlusion removal

Compact broadband high-resolution real-time four-dimensional imaging spectrometer

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