Constraining object features using a polarization reflectance model

Wolff, Lawrence B.; Boult, Terrance E.

doi:10.1109/34.85655

Cited by 355 publications

(227 citation statements)

References 19 publications

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“…Polarization and Diffusion: It is a common practice in machine vision to reduce specular reflections by using polarized illumination and sensing [6,16]. This is achieved by placing two polarizers with orthogonal polarization directions, one in front of the source and the other in front of the camera.…”

Section: Discussionmentioning

confidence: 99%

Diffuse structured light

Nayar

Gupta

2012

2012 IEEE International Conference on Computational Photography (ICCP)

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Today, structured light systems are widely used in applications such as robotic assembly, visual inspection, surgery, entertainment, games and digitization of cultural heritage. Current structured light methods are faced with two serious limitations. First, they are unable to cope with scene regions that produce strong highlights due to specular reflection. Second, they cannot recover useful information for regions that lie within shadows. We observe that many structured light methods use illumination patterns that have translational symmetry, i.e., two-dimensional patterns that vary only along one of the two dimensions. We show that, for this class of patterns, diffusion of the patterns along the axis of translation can mitigate the adverse effects of specularities and shadows. We show results for two applications -3D scanning using phase shifting of sinusoidal patterns and separation of direct and global components of light transport using highfrequency binary stripes.

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Section: Discussionmentioning

confidence: 99%

Diffuse structured light

Nayar

Gupta

2012

2012 IEEE International Conference on Computational Photography (ICCP)

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“…A surface normal can be represented in gradient space, a space constructed by gradients p and q: p = @H @x q = @H @y (10) where H = H(x y) denotes the height of the object surface. A folding curve is an extremum not only in a Gaussian sphere, but also in gradient space, p = p(x y) a n d q = q(x y).…”

Section: Discussionmentioning

confidence: 99%

Transparent surface modeling from a pair of polarization images

Miyazaki¹,

Kagesawa²,

Ikeuchi³

2004

IEEE Trans. Pattern Anal. Machine Intell.

181

120

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We propose a method for measuring surface shapes of transparent objects by using a polarizing lter. Generally, the light re ected from an object is partially polarized. The degree of polarization depends upon the incident angle which, in turn, depends upon the surface normal. Therefore, we can obtain surface normals of objects by observing the degree of polarization at each surface point. Unfortunately, the correspondence between the degree of polarization and the surface normal is not one to one. Hence, to obtain the correct surface normal, we h a ve to solve the ambiguity problem. In this paper, we i n troduce a m e t h o d t o s o l v e the ambiguity b y comparing the polarization data in two objects, i.e., normal position and tilted with small angle position. We also discuss the geometrical features of the object surface and propose a method for matching two sets of polarization data at identical points on the object surface.

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“…Wolff [12] a démontré comment déterminer des contraintes aux normales à la surface en appliquant le modèle de réflexion de Fresnel. Cette méthode est applicable aux surfaces très réfléchissantes.…”

Section: Principe De La Technique De "Shape From Polarization"unclassified

Éclairage structuré et vision active pour le contrôle qualité de surfaces métalliques réfléchissantes

Morel

Seulin²,

Stolz³

et al. 2005

J3eA

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RésuméDans le domaine de la vision artificielle, l'inspection de surfaces parfaitement réfléchissantes est une tâche particulièrement délicate, car elle implique de maîtriser complètement l'éclairage de la scène. Nous proposons dans ce papier, deux méthodes complémentaires permettant le contrôle qualité de surfaces métalliques réfléchissantes. La première méthode est un système d'acquisition utilisant un éclairage dynamique à franges. Elle permet de révéler les défauts d'aspect sur les surfaces à faible courbure. Dans des zones locales à plus forte courbure, il devient nécessaire d'avoir accès à des informations tridimensionnelles afin de pouvoir segmenter les défauts. Nous proposons ainsi une méthode complémentaire qui est basée sur la technique de "Shape From Polarization" étendue aux surfaces métalliques. Ces deux techniques sont particulièrement bien adaptée pour le contrôle qualité d'objets métalliques très réfléchissants obtenus par estampage.

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Constraining object features using a polarization reflectance model

Cited by 355 publications

References 19 publications

Diffuse structured light

Diffuse structured light

Transparent surface modeling from a pair of polarization images

Éclairage structuré et vision active pour le contrôle qualité de surfaces métalliques réfléchissantes

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