Three-Dimensional Imaging by Self-Reference Single-Channel Digital Incoherent Holography

Rosen, Joseph; Kelner, Roy

doi:10.1109/tii.2015.2462803

Cited by 15 publications

(3 citation statements)

References 74 publications

(127 reference statements)

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“…To obtain the spectral radiance from a reconstructed image, an incoherent hologram is recorded by employing the FINCH-based optical configuration with fixed transverse magnification [169]. In FINCH [70,168], two optical images of a spatially incoherent object are formed as secondary radiation sources. An incoherent hologram is generated by the sum of interference intensity patterns between the two spherical waves from the two images.…”

Section: Derivation Of Spectral Radiance From Reconstructed Imagementioning

confidence: 99%

“…An object emitting thermal radiation can be regarded as a spatially incoherent light source. Once its incoherent hologram is captured, the numerical propagation provides its reconstructed images at each reconstruction distance [70,167,168]-the numerical focusing is performed over the distances to adjust focus after capturing holograms. Spectral radiance is derived from in-focus reconstructed image, so that the temperature distribution is determined based on radiation thermometry-the threedimensional (3D) radiometric temperature measurement is realized [49].…”

Section: Introductionmentioning

confidence: 99%

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Roadmap of incoherent digital holography

et al. 2022

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This roadmap article focuses on spatially incoherent digital holography (IDH). Representative IDH methods such as optical scanning holography (OSH), Fresnel incoherent correlation holography (FINCH), coded aperture correlation holography (COACH), IDH with a Fresnel zone aperture, and IDH with an interferometer along with a state-of-the-art optical device are introduced as modern IDH methods. We describe these IDH techniques with applications of three-dimensional (3D) imagers, 3D thermography, and 3D microscopy.

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Section: Derivation Of Spectral Radiance From Reconstructed Imagementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Roadmap of incoherent digital holography

et al. 2022

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“…Multiple studies on depth hardware or system designs have been conducted recently. Rosen and Kelner [16] investigated into 3D imaging by a self-reference single-channel digital incoherent holography using a hologram recorder. Wei et al [17] studied methodologies for color 3D imaging with two near-infrared cameras.…”

Section: D Perception Using Dedicated Depth Hardwarementioning

confidence: 99%

MARS: parallelism-based metrically accurate 3D reconstruction system in real-time

Zhang

Wang

et al. 2020

J Real-Time Image Proc

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Due to the increasing application demands, lightweight device-based 3D recovery draws many attentions from a wide group of researchers in both academic and industrial fields. The current 3D reconstruction solutions are commonly achieved either using depth data or RGB data. The depth data usually come from a deliberately designed hardware for specific tasks, while the RGB data-based solutions only employ a single RGB camera with vision-based computing algorithms. Limitations are expected from both. Depth sensors are commonly either bulky or relatively expensive compared to RGB cameras, thus of less flexibility. Normal RGB cameras usually have better mobility but less accuracy in 3D sensing than depth sensors. Recently, machine learning based depth estimation has also been presented. However, its accuracy are still limited. To improve the flexibility of the 3D reconstruction system without loss in accuracy, this paper presents a solution of unconstrained Metrically Accurate 3D Reconstruction System (MARS) for 3D sensing based on a consumer-grade camera. With a simple initialization from a depth map, the system can achieve incremental 3D reconstruction with a stable metric scale. Experiments are conducted using both real-world data and public datasets. Competitive results are obtained using the proposed system compared with several existing methods.

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