3D modeling of micro transparent object with integrated vision

Ohara, Kenichi; Mizukawa, Makoto; Ohba, Kohtaro; Taki, Katsuhiko

doi:10.1109/mfi-2003.2003.1232641

Cited by 7 publications

(3 citation statements)

References 6 publications

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“…Hata,et al 11) estimated the surface shape of transparent objects by analyzing the deformation of the light projected onto the transparent objects. Ohara, et al 12) estimated the depth of the edge of a transparent object by using shape-from-focus. Ben-Ezra and Nayar 13) estimated the parameterized surface shape of transparent objects by using structure-from-motion.…”

Section: Related Workmentioning

confidence: 99%

Shape Estimation of Transparent Objects by Using Polarization Analyses

Miyazaki

Ikeuchi

2006

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Recently, techniques developed in the field of computer graphics and virtual reality have been applied to many environments, with the result that measuring the 3D shapes of real objects has become increasingly important. However, few methods have been proposed to measure the 3D shape of transparent objects such as glass and acrylics. In this paper, we introduce three methods that estimate the surface shape of transparent objects by using polarization analysis. The first method determines the surface shape of a transparent object by using knowledge established in the research field of thermodynamics. The second method determines the surface shape of a transparent object by using knowledge established in the research field of differential geometry. The third method gives an initial value of the surface shape and then determines the true surface shape of a transparent object by iterative computation. At the end of the paper, we discuss the advantages and the disadvantages of these three methods.

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Section: Related Workmentioning

confidence: 99%

Shape Estimation of Transparent Objects by Using Polarization Analyses

Miyazaki

Ikeuchi

2006

ipsjdc

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“…I R depends upon p, q, and H, while p, q, and H depend upon each other with Equation (10). Thus, cost function must be modified as follows: ZZ ( E 1 + E 2 ) dxdy (14) where, E 2 = ( H x ; p) 2 + ( H y ; q) 2 : …”

Section: Inverse Polarization Ray-tracingmentioning

confidence: 99%

“…Hata et al [9] estimated the surface shape of transparent objects by analyzing the deformation of the light projected onto the transparent objects. Ohara et al [10] estimated the depth of the edge of transparent object by using shape-from-focus. Ben-Ezra and Nayar [11] estimated the parameterized surface shape of transparent objects by using structure-frommotion.…”

Section: Introductionmentioning

confidence: 99%