2018
DOI: 10.1364/ao.57.002553
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Turning a conventional camera into a 3D camera with an add-on

Abstract: We propose to add an optical component in front of a conventional camera to improve depth estimation performance of depth from defocus (DFD), an approach based on the relation between defocus blur and depth. The add-on overcomes ambiguity and the dead zone, which are the fundamental limitations of DFD with a conventional camera, by adding an optical aberration to the whole system that makes the blur unambiguous and measurable for each depth. We look into two optical components: the first one adds astigmatism a… Show more

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Cited by 7 publications
(16 citation statements)
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References 20 publications
(42 reference statements)
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“…b) Defocus blur: Defocus space-varying blurs have been considered for example in [50] in the context of depth estimation in digital camera images. Defocus blur kernel can be parametrized by ρ = (θ, s) with θ ∈ R and s ∈ (0, +∞) 2 .…”
Section: B Relevant Parametric Psf Modelsmentioning
confidence: 99%
“…b) Defocus blur: Defocus space-varying blurs have been considered for example in [50] in the context of depth estimation in digital camera images. Defocus blur kernel can be parametrized by ρ = (θ, s) with θ ∈ R and s ∈ (0, +∞) 2 .…”
Section: B Relevant Parametric Psf Modelsmentioning
confidence: 99%
“…In the sequel we use "valid" convolutions where the support of the scene is enlarged with respect to the one of the image according to the PSF support [Section 4.3.2 17]. In [4], (b): colored aperture shape of [6], (c): add-on with chromatic aberration of [8] and (d): the 3D camera with chromatic aberration of [7] which is further studied in Section 6. sections 4.1 and 5.1, a more precise description of quantities Y , X and H z will be given, specific to the considered application.…”
Section: A Image Formation Modelmentioning
confidence: 99%
“…Figure 16 shows example of the restored image corresponding to the image of Figure 15, using a high frequency transfer. As in [7,8], the weights of the transfer is defined with respect to the estimated distance from the depth maps. The zoom on the image allows to see the improvement of image quality due to the restoration process.…”
Section: H4 Restored Imagementioning
confidence: 99%
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