Digital focusing and refocusing with thin multi-aperture cameras

Oberdörster, Alexander; Brückner, Andreas; Wippermann, Frank; Bräuer, Andreas; Lensch, Hendrik P. A.

doi:10.1117/12.906318

Cited by 9 publications

(9 citation statements)

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“…As such, the eCLEY enables features like software focusing/refocusing, all-in-focus rendering and depth imaging in close range just like other light field cameras do. These features have already been demonstrated for a prior demonstrator -the eCLEY VGA 6 .They are the focus for an improved version, the eCLEY 720p, which is demonstrated in this manuscript. …”

Section: An Array Camera With Segmented Field Of Viewmentioning

confidence: 77%

Ultra-slim 2D- and depth-imaging camera modules for mobile imaging

et al. 2016

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In this contribution, a microoptical imaging system is demonstrated that is inspired by the insect compound eye. The array camera module achieves HD resolution with a z-height of 2.0 mm, which is about 50% compared to traditional cameras with comparable parameters. The FOV is segmented by multiple optical channels imaging in parallel. The partial images are stitched together to form a final image of the whole FOV by image processing software. The system is able to acquire depth maps along with the 2D video and it includes light field imaging features such as software refocusing. The microlens arrays are realized by microoptical technologies on wafer-level which are suitable for a potential fabrication in high volume

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Section: An Array Camera With Segmented Field Of Viewmentioning

confidence: 77%

Ultra-slim 2D- and depth-imaging camera modules for mobile imaging

et al. 2016

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“…Compared to a traditional camera with the same field of view (FOV) it has shorter track length. According to [10], the overlap between channels is selected half the FOV. This means that a pixel at infinite distance can only be observed in adjacent channels.…”

Section: Electronic Cluster Eye Camera (Ecley)mentioning

confidence: 99%

“…Their multiaperture camera uses an array of 17x13 channels and also omits the main lens. In [10] Oberdörster et al presented a stitching algorithm that can merge the channels using a constant disparity. As a result the final image shows sharp objects only at a specific distance and contains artifacts due to the missing parallax correction.…”

Section: Introductionmentioning

confidence: 99%

Dense lightfield reconstruction from multi aperture cameras

Ziegler

Zilly

Schaefer

et al. 2014

2014 IEEE International Conference on Image Processing (ICIP)

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Plenoptic cameras based on micro lens arrays as well as multi aperture cameras are able to capture a multitude of images with slightly shifted viewpoints. Although the amount of parallax between adjacent views is limited, precautions have to be taken in order to avoid alias when performing direct lightfield rendering. Against this background, we present an approach for the dense reconstruction of a lightfield based on a sparse lightfield acquired from a multi aperture camera with subsequent disparity estimation and depth image based view interpolation. Results show that the approach is suitable for all-in-focus-rendering

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“…Further, a sharply focused image and a depth map can be gained. Compared with the methods in [30,31,59], G3D has three main advantages:…”

Section: Introductionmentioning

confidence: 99%

Geometry based three-dimensional image processing method for electronic cluster eye

Zhang

Zhu

et al. 2018

ICA

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In recent years, much attention has been paid to the electronic cluster eye (eCley), a new type of artificial compound eyes, because of its small size, wide field of view (FOV) and sensitivity to motion objects. An eCley is composed of a certain number of optical channels organized as an array. Each optical channel spans a small and fixed field of view (FOV). To obtain a complete image with a full FOV, the images from all the optical channels are required to be fused together. The parallax from unparallel neighboring optical channels in eCley may lead to reconstructed image blurring and incorrectly estimated depth. To solve this problem, this paper proposes a geometry based three-dimensional image processing method (G3D) for eCley to obtain a complete focused image and dense depth map. In G3D, we derive the geometry relationship of optical channels in eCley to obtain the mathematical relation between the parallax and depth among unparallel neighboring optical channels. Based on the geometry relationship, all of the optical channels are used to estimate the depth map and reconstruct a focused image. Subsequently, by using an edge-aware interpolation method, we can further gain a sharply focused image and a depth map. The effectiveness of the proposed method is verified by the experimental results.

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Digital focusing and refocusing with thin multi-aperture cameras

Cited by 9 publications

References 0 publications

Ultra-slim 2D- and depth-imaging camera modules for mobile imaging

Ultra-slim 2D- and depth-imaging camera modules for mobile imaging

Dense lightfield reconstruction from multi aperture cameras

Geometry based three-dimensional image processing method for electronic cluster eye

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