Tomographic approach for the quantitative scene reconstruction from light field images

Viganò, Nicola; Sarkissian, Henri Der; Herzog, Charlotte; Rochefoucauld, Ombeline de La; Liere, Robert van; Batenburg, Kees Joost

doi:10.1364/oe.26.022574

Cited by 12 publications

(27 citation statements)

References 18 publications

(26 reference statements)

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“…Compared to the ULF case, we showed in [20] that in the FLF case, we observe a shift in the (s, t) coordinates of each sub-aperture image, which depends on its associated (σ, τ) coordinates:…”

Section: Conventionsmentioning

confidence: 84%

“…The camera array setup is not considered explicitly here, but it is equivalent to the setup in Fig. 1(a), with the only difference being that it lacks the ML [20].…”

Section: Conventionsmentioning

confidence: 99%

“…In a recent paper, we described a framework in which a light-field photography image can be interpreted as limited angle cone-beam tomography acquisition, [20]. The framework presents an in-depth analysis of how different parametrizations of the ray-tracing model can be formulated so that the well-known back-projection methods for cone-beam tomography can be used to solve the refocusing problem.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Advanced light-field refocusing through tomographic modeling of the photographed scene

Viganò¹,

Gil²,

Herzog³

et al. 2019

Opt. Express

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Recently we have shown that light-field photography images can be interpreted as limited-angle cone-beam tomography acquisitions. Here, we use this property to develop a direct-space tomographic refocusing formulation that allows one to refocus both unfocused and focused light-field images. We express the reconstruction as a convex optimization problem, thus enabling the use of various regularization terms to help suppress artifacts, and a wide class of existing advanced tomographic algorithms. This formulation also supports super-resolved reconstructions and the correction of the optical system's limited frequency response (point spread function). We validate this method with numerical and real-world examples.

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Section: Conventionsmentioning

confidence: 84%

“…The camera array setup is not considered explicitly here, but it is equivalent to the setup in Fig. 1(a), with the only difference being that it lacks the ML [20].…”

Section: Conventionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Advanced light-field refocusing through tomographic modeling of the photographed scene

Viganò¹,

Gil²,

Herzog³

et al. 2019

Opt. Express

Self Cite

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show abstract

“…According to the dispersion characteristics of the warhead fragment of projectile proximity explosion, in predetermined area which the warhead fragment flights the direction of the trend arrange two light field cameras, these light field cameras are named CCD1 and CCD2, their optical axes form intersection area in space, and they are provided with micro‐lens array, it can obtain the ray angle and position information in the dispersion area of the warhead fragment by using the digital refocusing technology, as shown as Figure .…”

Section: Spatial Position Recognition Algorithm Of Warhead Fragment Bmentioning

confidence: 99%

Warhead fragment position measurement method by using two light filed cameras

Zhang

Yan

2019

Micro & Optical Tech Letters

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The warhead fragments formed by projectile proximity explosion are easily occluded and coincided at the same time, it is very difficult to identify the spatial position of each warhead fragment, which will affect the analysis and research of the launching performance of weapons. To obtain dynamic parameter of each warhead fragment, this article proposes a new measurement method by using two light field cameras with micro-lens array imaging, establishes the spatial position calculation model of warhead fragment, researches the spatial position recognition algorithm of warhead fragment, gives the calculation function of the depth value of the warhead fragment based on digital refocusing principle of light field camera. According to the depth information of the warhead fragment in the optical imaging region, sets up the recognition model and provides the processing algorithm of multiple warhead fragments occlusion and coincidence. In accordance with the spatial position calculation function of warhead fragment, utilizes the differential method to analyze the testing error. Through simulation and experimental analysis, the results of simulation and contrastive testing show that the proposed method can effectively recognize and distinguish the occlusive warhead fragments, which makes up for the shortcomings of the traditional binocular vision testing method.

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“…In recent works, a close relation between limited-angle cone-beam tomography and the so-called plenoptic or lightfield camera has been identified 8,9 . A plenoptic camera captures both the intensity and direction of light-rays and uses arrays of micro-lenses to collect multiple views of the same scene in a single image [10][11][12][13][14] .…”

mentioning

confidence: 98%

Plenoptic x-ray microscopy

Sowa

Kujda

Korecki

2020

Applied Physics Letters

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Plenoptic cameras use arrays of micro-lenses to capture multiple views of the same scene in a single compound image. They enable refocusing on different planes and depth estimation. However, until now, all types of plenoptic computational imaging have been limited to visible light. We demonstrate an x-ray plenoptic microscope that uses a concentrating micro-capillary array instead of a micro-lens array and can simultaneously acquire from one hundred to one thousand x-ray projections of imaged volumes that are located in the focal spot region of the micro-capillary array. Hence, tomographic slices at various depths near the focal plane can be reconstructed in a way similar to tomosynthesis, but from a single x-ray exposure. The microscope enables depth-resolved imaging of small subvolumes in large samples and can be used for imaging of weakly absorbing artificial and biological objects by means of propagation phase-contrast.

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Tomographic approach for the quantitative scene reconstruction from light field images

Cited by 12 publications

References 18 publications

Advanced light-field refocusing through tomographic modeling of the photographed scene

Advanced light-field refocusing through tomographic modeling of the photographed scene

Warhead fragment position measurement method by using two light filed cameras

Plenoptic x-ray microscopy

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