Photometric Stereo in a Scattering Medium

Murez, Zak; Treibitz, Tali; Ramamoorthi, Ravi; Kriegman, David

doi:10.1109/iccv.2015.390

Cited by 50 publications

(33 citation statements)

References 32 publications

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“…Several techniques for 3D mapping have been applied to seafloor mapping, such as stereo vision (Johnson-Roberson, Pizarro, Williams, & Mahon, 2010;Johnson-Roberson et al, 2016;Negahdaripour & Madjidi, 2003;Zhang & Negahdaripour, 2005) and structure from motion (SFM) (Garcia, Campos, & Escartín, 2011;Nicosevici, Gracias, Negahdaripour, & Garcia, 2009;Pizarro, Eustice, & Singh, 2009), both of which rely on matching visual features between images. Other visual 3D mapping methods employ photometric stereo (Murez, Treibitz, Ramamoorthi, & Kriegman, 2015), time-of-flight measurements (Dalgleish, Ouyang, & Vuorenkoski, 2013;Harsdorf et al, 1999), or structured light, such as light patterns (Bruno, Bianco, Muzzupappa, Barone, & Razionale, 2011) or line laser projections (Narasimhan, Nayar, Bo, & Koppal, 2005). While light sectioning using line lasers leads to regularly resolved shape reconstructions, it does not map any color information of the seafloor.…”

Section: Introductionmentioning

confidence: 99%

Generation of High‐resolution Three‐dimensional Reconstructions of the Seafloor in Color using a Single Camera and Structured Light

Bodenmann

Thornton

Ura

2016

Journal of Field Robotics

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Visual maps of the seafloor can provide objective information to characterize benthic ecosystems and survey the distribution of mineral deposits on spatial scales that cannot be otherwise assessed. This paper proposes a threedimensional mapping method based on light sectioning that enables the simultaneous capture of both structure and color from the images of a single camera. The advantages of the method include high and consistent resolution of the bathymetry, and the simplicity of the setup and the algorithm used to process the data it obtains. The hardware requirements for collecting the data are a single camera, a line laser, and a light, making it possible to deploy the mapping device along with other sensors and devices on underwater platforms such as autonomous underwater vehicles and remotely operated vehicles that can log navigation data. The system has been deployed on a total of 11 cruises, among others, to survey manganese-rich crust deposits on the slopes of Takuyo #5 seamount in the Pacific at depths of more than 2,000 m. In this paper, we present the data that were obtained on one of these cruises.

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Section: Introductionmentioning

confidence: 99%

Generation of High‐resolution Three‐dimensional Reconstructions of the Seafloor in Color using a Single Camera and Structured Light

Bodenmann

Thornton

Ura

2016

Journal of Field Robotics

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“…Fluorescence is emission of light following excitation by light of a different wavelength. This phenomenon is used in microscopy to optically separate (using appropriate filters) the desired signal from scattered light that has the illuminant color [28].…”

Section: Methodsmentioning

confidence: 99%

Descattering

Treibitz¹

2020

Computer Vision

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“…Similar to these approaches, we apply the Lambertian photometric stereo after extracting the diffuse component. Inoshita et al [49] improves the photometric stereo for translucent objects using surface normal deconvolution, Ngo et al [50] use a polarization cue to recover a smooth surface, and Murez et al [51] develop photometric stereo in a scattering media that consider the blur depending on the distance. While these methods jointly compensate for the global light transport in their solutions, we aim to separate the far infrared light transport.…”

Section: Photometric Stereomentioning

confidence: 99%

Time-Resolved Far Infrared Light Transport Decomposition for Thermal Photometric Stereo

Tanaka

Ikeya

Takatani

et al. 2021

IEEE Trans. Pattern Anal. Mach. Intell.

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We present a novel time-resolved light transport decomposition method using thermal imaging. Because the speed of heat propagation is much slower than the speed of light propagation, transient transport of far infrared light can be observed at a video frame rate. A key observation is that the thermal image looks similar to the visible light image in an appropriately controlled environment. This implies that conventional computer vision techniques can be straightforwardly applied to the thermal image. We show that the diffuse component in the thermal image can be separated and, therefore, the surface normals of objects can be estimated by the Lambertian photometric stereo. The effectiveness of our method is evaluated by conducting real-world experiments, and its applicability to black body, transparent, and translucent objects is shown.

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Photometric Stereo in a Scattering Medium

Cited by 50 publications

References 32 publications

Generation of High‐resolution Three‐dimensional Reconstructions of the Seafloor in Color using a Single Camera and Structured Light

Generation of High‐resolution Three‐dimensional Reconstructions of the Seafloor in Color using a Single Camera and Structured Light

Descattering

Time-Resolved Far Infrared Light Transport Decomposition for Thermal Photometric Stereo

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