Transparent Object Reconstruction via Coded Transport of Intensity

Capturing and understanding visual signals is one of the core interests of computer vision. Much progress has been made w.r.t. many aspects of imaging, but the reconstruction of refractive phenomena, such as turbulence, gas and heat flows, liquids, or transparent solids, has remained a challenging p...

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Bibliographic Details
Published in2014 IEEE Conference on Computer Vision and Pattern Recognition pp. 3238 - 3245
Main Authors Chenguang Ma, Xing Lin, Jinli Suo, Qionghai Dai, Wetzstein, Gordon
Format Conference Proceeding Journal Article
LanguageEnglish
Published IEEE 01.06.2014
Subjects
Computer vision
Equations
Illumination
Image reconstruction
Imaging
Lighting
Mathematical analysis
Mathematical model
Optical imaging
Optical refraction
Pattern recognition
Reconstruction
Refractive index
Three dimensional
Transport
Turbulent flow
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ISSN1063-6919
1063-6919
DOI10.1109/CVPR.2014.420

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Summary:Capturing and understanding visual signals is one of the core interests of computer vision. Much progress has been made w.r.t. many aspects of imaging, but the reconstruction of refractive phenomena, such as turbulence, gas and heat flows, liquids, or transparent solids, has remained a challenging problem. In this paper, we derive an intuitive formulation of light transport in refractive media using light fields and the transport of intensity equation. We show how coded illumination in combination with pairs of recorded images allow for robust computational reconstruction of dynamic two and three-dimensional refractive phenomena.
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SourceType-Conference Papers & Proceedings-2
ISSN:1063-6919
1063-6919
DOI:10.1109/CVPR.2014.420