Content-based depth estimation in focused plenoptic camera

Atanassov, Kalin; Goma, Sergio; Ramachandra, Vikas; Georgiev, Todor

doi:10.1117/12.872667

Cited by 10 publications

(2 citation statements)

References 5 publications

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“…This increases the angle information by NM, thus sacrificing spatial information in exchange for angle information. In a Light field camera, each microlens images the main lens to form a macro pixel, and several pixels at the same position relative to the center of the microlens are spliced to form a single view image according to the position sequence of the microlens in the sensor [15] . As depicted in Fig.…”

Section: Measurement Principles 21 Principles and Sampling Of Light F...mentioning

confidence: 99%

Research on depth measurement calibration of light field camera based on Gaussian fitting

Yang

2023

Preprint

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Optical field imaging technology does not require a complicated optical path layout and thus reduces hardware costs. Given that only one single exposure of a single camera can obtain three-dimensional information, this paper proposes an improved calibration method for depth measurement based on the theoretical model of optical field imaging. Specifically, the calibration time can be reduced since the Gaussian fitting can reduce the number of refocused images used to obtain the optimal refocusing coefficient calibration. Moreover, the proposed method achieves the same effect as the multiple refocusing calibration strategy but requires less image processing time during calibration. At the same time, this method's depth resolution is analyzed in detail.

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Section: Measurement Principles 21 Principles and Sampling Of Light F...mentioning

confidence: 99%

Research on depth measurement calibration of light field camera based on Gaussian fitting

Yang

2023

Preprint

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“…The former matches between multi-viewpoint images to calculate the disparity map, while the latter focuses on different depths to obtain the focus stack, then estimates the blur kernel and degree of focus. [25]- [31]. The ascendancy of passive illumination is that it can realize depth perception without any auxiliary equipment, but passive illumination lacks robustness, which seriously affects the quality of depth estimation, and cannot handle complex scenes.…”

Section: Introductionmentioning

confidence: 99%

Light-Field-Assisted Phase Unwrapping of Fringe Projection Profilometry

et al. 2021

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A phase unwrapping algorithm assisted by light field without additional time coding is proposed, which can be used in various aspects of optical imaging and metrology. The phase consistency between the light field and the industrial camera is the sticking point to convert the angular resolution of the light field into the order of phase. By virtue of the angle information recorded by the light field, the correct order can be uniquely determined from several candidate orders without confusion in the measurement volume. The mandatory requirements for system fixation and pre-calibration and the connection between the light field and industrial camera are prerequisites for order uniqueness. The mapping relationship established by the phase implies coordinate conversion, lens distortion and other factors, thus providing a high degree of stability for the transmission of phase order information. The achieved results demonstrate that our method is robust and can be taken as an effective tool for means of phase unwrapping.

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Simulation of light-field camera imaging based on ray splitting Monte Carlo method

Liu

Yuan

et al. 2015

Optics Communications

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Content-based depth estimation in focused plenoptic camera

Cited by 10 publications

References 5 publications

Research on depth measurement calibration of light field camera based on Gaussian fitting

Research on depth measurement calibration of light field camera based on Gaussian fitting

Light-Field-Assisted Phase Unwrapping of Fringe Projection Profilometry

Simulation of light-field camera imaging based on ray splitting Monte Carlo method

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