Plenoptic camera range finding

Raynor, Robert A.; Walli, Karl C.

doi:10.1109/aipr.2013.6749336

Cited by 4 publications

(3 citation statements)

References 5 publications

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“…In the stereo case, there have been a number of excellent studies thoroughly analysing the point reconstruction error with relation to multiple parameters [20], [21]. Furthermore, the error of depth estimation in linear camera arrays, has been analysed [22].…”

Section: Introductionmentioning

confidence: 99%

Bound and Conquer: Improving Triangulation by Enforcing Consistency

Scholefield

Ghasemi

Vetterli

2020

IEEE Trans. Pattern Anal. Mach. Intell.

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We study the accuracy of triangulation in multi-camera systems with respect to the number of cameras. We show that, under certain conditions, the optimal achievable reconstruction error decays quadratically as more cameras are added to the system. Furthermore, we analyse the error decay-rate of major state-of-the-art algorithms with respect to the number of cameras. To this end, we introduce the notion of consistency for triangulation, and show that consistent reconstruction algorithms achieve the optimal quadratic decay, which is asymptotically faster than some other methods. Finally, we present simulations results supporting our findings. Our simulations have been implemented in MATLAB and the resulting code is available in the supplementary material.

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Section: Introductionmentioning

confidence: 99%

Bound and Conquer: Improving Triangulation by Enforcing Consistency

Scholefield

Ghasemi

Vetterli

2020

IEEE Trans. Pattern Anal. Mach. Intell.

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“…al. [20] analysed the error in range finding using a plenoptic camera utilising a model based on Gaussian noise. This work was supported by the Commission for Technology and Innovation (CTI) project no.…”

Section: Introductionmentioning

confidence: 99%

“…al. [20] analysed the error in range finding using a plenoptic camera utilising a model based on Gaussian noise.…”

Section: Introductionmentioning

confidence: 99%

On the accuracy of point localisation in a circular camera-array

Ghasemi

Scholefield

Vetterli

2015

2015 IEEE International Conference on Image Processing (ICIP)

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Although many advances have been made in light-field and camera-array image processing, there is still a lack of thorough analysis of the localisation accuracy of different multi-camera systems. By considering the problem from a frame-quantisation perspective, we are able to quantify the point localisation error of circular camera configurations. Specifically, we obtain closed form expressions bounding the localisation error in terms of the parameters describing the acquisition setup.These theoretical results are independent of the localisation algorithm and thus provide fundamental limits on performance. Furthermore, the new frame-quantisation perspective is general enough to be extended to more complex camera configurations.

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On the resolution of plenoptic PIV

Deem

Zhang

Cattafesta

et al. 2016

Meas. Sci. Technol.

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Plenoptic PIV offers a simple, single camera solution for volumetric velocity measurements of fluid flow. However, due to the novel manner in which the particle images are acquired and processed, few references exist to aid in determining the resolution limits of the measurements. This manuscript provides a framework for determining the spatial resolution of plenoptic PIV based on camera design and experimental parameters. This information can then be used to determine the smallest length scales of flows that are observable by plenoptic PIV, the dynamic range of plenoptic PIV, and the corresponding uncertainty in plenoptic PIV measurements. A simplified plenoptic camera is illustrated to provide the reader with a working knowledge of the method in which the light field is recorded. Then, operational considerations are addressed. This includes a derivation of the depth resolution in terms of the design parameters of the camera. Simulated volume reconstructions are presented to validate the derived limits. It is found that, while determining the lateral resolution is relatively straightforward, many factors affect the resolution along the optical axis. These factors are addressed and suggestions are proposed for improving performance.

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Plenoptic camera range finding

Cited by 4 publications

References 5 publications

Bound and Conquer: Improving Triangulation by Enforcing Consistency

Bound and Conquer: Improving Triangulation by Enforcing Consistency

On the accuracy of point localisation in a circular camera-array

On the resolution of plenoptic PIV

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