Depth measurement using single camera with fixed camera parameters

Wei, Yangjie; Dong, Zhaoyang; Wu, Chunlin

doi:10.1049/iet-cvi.2010.0017

Cited by 25 publications

(12 citation statements)

References 19 publications

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“…This could also help if two or more robots detect a single depth marker, and place it in slightly different positions, potentially causing conflict. 1 Work was supported, in part, by grant number FA8750-15-2-0116 from Air Force Research Laboratory and OSD through NCS&T State University.…”

Section: Discussionmentioning

confidence: 99%

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Depth Estimation of an Underwater Object Using a Single Camera

Champion¹,

Jamshidi²,

Joordens³

2017

KEG

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<p>Underwater robotics is currently a growing field. To be able to autonomously find and collect objects on the land and in the air is a complicated problem, which is only compounded within the underwater setting. Different techniques have been developed over the years to attempt to solve this problem, many of which involve the use of expensive sensors. This paper explores a method to find the depth of an object within the underwater setting, using a single camera source and a known object. Once this known object has been found, information about other unknown objects surrounding this point can be determined, and therefore the objects can be collected.</p>

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Section: Discussionmentioning

confidence: 99%

“…Generally, to be able to construct a depth map by using a camera, two or more devices are required. Robust techniques can then be used to generate a fairly accurate map, such as Depth from Stero and Depth from Defocus [1,2]. Due to only one camera being available, these techniques were discounted.…”

Section: Introductionmentioning

confidence: 99%

Depth Estimation of an Underwater Object Using a Single Camera

Champion¹,

Jamshidi²,

Joordens³

2017

KEG

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“…When the distance map Z is an equifocal plane, the PSF is approximated by a shift-invariant Gaussian, the image model in (2) can be formulated in terms of heat equation [11][12][13] ,…”

Section: Optical Diffusion Modelmentioning

confidence: 99%

Shape reconstruction within an optical diffusion model

Wei

2016

2016 IEEE 14th International Workshop on Advanced Motion Control (AMC)

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Abstract-Shape reconstruction with an optical diffuser has some significant advantages such as high-precision depth estimation with a small lens, depth estimation for distant objects, and less sensitivity to lens aberrations. However, no optical diffusion model has been proposed to relate depth information to the basic principle of intensity distribution during optical diffusion. In this paper, heat diffusion equation in physics is introduced into optical diffusion, and a mathematic model of intensity distribution during optical diffusion is constructed. A highprecision shape reconstruction method with optical diffusion is proposed based on heat diffusion equation. First, an optical diffusion model is introduced to explain the basic principle of diffusion imaging process. Second, a novel shape reconstruction method based on global heat diffusion is proposed within our optical diffusion model. Finally, simulation with synthetic images and experiment with five playing cards are conducted, and the result proves the effectiveness and feasibility of the proposed method.

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“…Until now, modeling depth information based on the presence of optical diffraction has rarely been researched. In our previous work, a DFD method with fixed camera parameters was proposed [9,10], while optical diffraction has not been considered.…”

Section: Introductionmentioning

confidence: 99%

Nanoscale depth reconstruction from defocus: within an optical diffraction model

Wei¹,

Wu²,

Dong³

2014

Opt. Express

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Depth from defocus (DFD) based on optical methods is an effective method for depth reconstruction from 2D optical images. However, due to optical diffraction, optical path deviation occurs, which results in blurring imaging. Blurring, in turn, results in inaccurate depth reconstructions using DFD. In this paper, a nanoscale depth reconstruction method using defocus with optical diffraction is proposed. A blurring model is proposed by considering optical diffraction, leading to a much higher accuracy in depth reconstruction. Firstly, Fresnel diffraction in an optical system is analyzed, and a relationship between intensity distribution and depth information is developed. Secondly, a blurring imaging model with relative blurring and heat diffusion is developed through curving fitting of a numerical model. In this way, a new DFD method with optical diffraction is proposed. Finally, experimental results show that this new algorithm is more effective for depth reconstruction on the nanoscale.

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Depth measurement using single camera with fixed camera parameters

Cited by 25 publications

References 19 publications

Depth Estimation of an Underwater Object Using a Single Camera

Depth Estimation of an Underwater Object Using a Single Camera

Shape reconstruction within an optical diffusion model

Nanoscale depth reconstruction from defocus: within an optical diffraction model

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