Polarization imaging applied to 3D reconstruction of specular metallic surfaces

Morel, Olivier; Mériaudeau, Fabrice; Stolz, Christophe; Gorria, Patrick

doi:10.1117/12.586815

Cited by 85 publications

(60 citation statements)

References 13 publications

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“…To sum up, the acquisition and reconstruction procedure is as follows: acquisition of the image sequence by rotating the polarizer, acquisition of the mask image [6] by sequentially powering the resistors and evaluation of the Stokes parameters with verification of their accuracy in order to remove noisy data points. The criterion evaluates the physical admissibility of the parameters, , completed by the comparison between the measured intensity by the sensor and the approximated intensity : we consider the relative error between and , the sign of the product of their respective derivative and the relative error of these derivatives [14].…”

Section: Resultsmentioning

confidence: 99%

“…This requires a sequence of images; each image is obtained after rotating the polarizer with a constant step of 10 degrees (α), and then perform a least square fitting and finally evaluate the degree and angle of polarization. However, as pointed out earlier by Miyazaki [12] and Morel [6], evaluation of by these measures is not straightforward since both of them provides two candidates. That's why the use of an active light source was introduced by Morel [6] who calculates an image mask Iquad in order to properly solve the ambiguity for the azimuthal angle in the case of metallic surfaces.…”

Section: Experimental Set-upmentioning

confidence: 98%

“…However, as pointed out earlier by Miyazaki [12] and Morel [6], evaluation of by these measures is not straightforward since both of them provides two candidates. That's why the use of an active light source was introduced by Morel [6] who calculates an image mask Iquad in order to properly solve the ambiguity for the azimuthal angle in the case of metallic surfaces. Concerning the zenithal angle, Miyazaki [13] introduced a multispectral technique considering visible and IR measurement.…”

Section: Experimental Set-upmentioning

confidence: 98%

“…This spectral band corresponds to a part of the spectrum where transparent materials like glass and some plastics appear opaque. Since the pioneer works of Wolff [5] on polarization imaging, recent extensions have been made possible by active lightings systems [6], multispectral approach [7] and infrared imaging. In the field of remote sensing Middle IR band is then used for material detection and separation [8].…”

Section: State Of the Artmentioning

confidence: 99%

See 3 more Smart Citations

Shape from polarization in the far IR applied to 3D digitization of transparent objects

Kechiche¹,

Rantoson²,

Aubreton³

et al. 2016

Proceedings of the 2016 International Conference on Quantitative InfraRed Thermography

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This paper presents an application of "shape from polarization" method in the far Infrared range with applications for three-dimensional reconstruction of transparent objects. Shape from polarization is a recent application of more general polarization imaging technique having the aim to digitize the shape of the observed object. The principle is to evaluate the normal on each observed point followed by an integration procedure. The technique is well developed in the visible domain, but not in the far infrared domain due to the requirement of telecentric optics. We propose here a complete setup in the 8-13 micrometer spectral band with an appropriate source and a reconstruction method including the pinhole camera model in order to use standard optics for the camera. We present primary results of threedimensional digitization of transparent objects.Keywords: Polarization, thermal imaging, transparent objects, long wave infrared and three-dimensional digitization State of the artRecovering three-dimensional surface shape of objects, remains an important research area of computer vision. However, when dealing with the inspection of transparent or highly reflective surfaces like mirror, standard solutions are not available yet. Referring to these non "Lambertian" surfaces, Ihrke et al [1] published an exhaustive survey which was recently completed by Meriaudeau et al.[2]for transparent objects.Among the recent works, approaches such as "scanning from heating" [3], where the three-dimensional data is reconstructed from a heat pattern visualized with a calibrated IR camera or "shape from induced fluorescence" [4] where the three-dimensional reconstruction takes place thanks to a generated visible pattern induced by florescence onto the object surface, appear to be very promising for three-dimensional inspection with potential adaptation for transparent as well as specular objects.The shape from polarization technique, based on the analysis of polarimetric property of the light reflected from the object, is also well adapted for non "lambertian" surfaces. This is an unconventional approach because it does not rely on the tradionnaly used parameter in machine vision such as the intensity and wavelength. A standard camera model limited by brightness and hue is not enough to measure the polarization parameters.In this paper, we used the shape from polarization method in the far infrared band. This spectral band corresponds to a part of the spectrum where transparent materials like glass and some plastics appear opaque. Since the pioneer works of Wolff [5] on polarization imaging, recent extensions have been made possible by active lightings systems [6], multispectral approach [7] and infrared imaging. In the field of remote sensing Middle IR band is then used for material detection and separation [8]. The last example used the near IR band [9] in order to build a depth map of the outdoor environment. This brings new interest in polarization imaging techniques. Proposed MethodThe acquisition and reconstruction proc...

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Section: Resultsmentioning

confidence: 99%

Section: Experimental Set-upmentioning

confidence: 98%

Section: Experimental Set-upmentioning

confidence: 98%

Section: State Of the Artmentioning

confidence: 99%

See 2 more Smart Citations

Shape from polarization in the far IR applied to 3D digitization of transparent objects

Kechiche¹,

Rantoson²,

Aubreton³

et al. 2016

Proceedings of the 2016 International Conference on Quantitative InfraRed Thermography

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show abstract

“…This greedy approach will not produce globally optimal results, limits application to objects with a visible occluding boundary and does not consider integrability. Morel et al [8] took a similar approach but used a specular polarisation model suitable for metallic surfaces. Huynh et al [9] also assumed convexity to disambiguate the polarisation normals; however, their approach also estimates refractive index.…”

Section: Related Workmentioning

confidence: 99%

Linear Depth Estimation from an Uncalibrated, Monocular Polarisation Image

Smith

Ramamoorthi

Tozza

2016

Lecture Notes in Computer Science

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Abstract. We present a method for estimating surface height directly from a single polarisation image simply by solving a large, sparse system of linear equations. To do so, we show how to express polarisation constraints as equations that are linear in the unknown depth. The ambiguity in the surface normal azimuth angle is resolved globally when the optimal surface height is reconstructed. Our method is applicable to objects with uniform albedo exhibiting diffuse and specular reflectance. We extend it to an uncalibrated scenario by demonstrating that the illumination (point source or first/second order spherical harmonics) can be estimated from the polarisation image, up to a binary convex/concave ambiguity. We believe that our method is the first monocular, passive shape-from-x technique that enables well-posed depth estimation with only a single, uncalibrated illumination condition. We present results on glossy objects, including in uncontrolled, outdoor illumination.

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Bioinspired Optical Imaging

Sarkar

2015

Biologically Inspired Computer Vision

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Polarization imaging applied to 3D reconstruction of specular metallic surfaces

Cited by 85 publications

References 13 publications

Shape from polarization in the far IR applied to 3D digitization of transparent objects

Shape from polarization in the far IR applied to 3D digitization of transparent objects

Linear Depth Estimation from an Uncalibrated, Monocular Polarisation Image

Bioinspired Optical Imaging

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