Compressive Structured Light for Recovering Inhomogeneous Participating Media

We propose a new method named compressive structured light for recovering inhomogeneous participating media. Whereas conventional structured light methods emit coded light patterns onto the surface of an opaque object to establish correspondence for triangulation, compressive structured light projec...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence Jg. 35; H. 3; S. 1
Hauptverfasser:	Jinwei Gu, Nayar, S. K., Grinspun, E., Belhumeur, P. N., Ramamoorthi, R.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Los Alamitos, CA IEEE 01.03.2013 IEEE Computer Society
Schlagworte:	Applications and Expert Knowledge-Intensive Systems Applied sciences Artificial Intelligence Atmospheric measurements Cameras Computer science; control theory; systems Computer vision Computing Methodologies Cross-disciplinary physics: materials science; rheology Detection, estimation, filtering, equalization, prediction Exact sciences and technology Image Processing and Computer Vision Image reconstruction Image Representation Information, signal and communications theory Materials science Materials testing Media Modeling and recovery of physical attributes Particle measurements Pattern recognition. Digital image processing. Computational geometry Photometry Physics Scene Analysis Signal and communications theory Signal, noise Spatial resolution Telecommunications and information theory Vision and Scene Understanding Volume measurement Volumetric Process dynamics Computer vision time varying Signal-to-noise ratio Image reconstruction Subsampling Time-varying systems volume reconstruction Projection method Multilayers Compressive sensing Acquisition process Efficiency Drops Tomography Structured light Tridimensional image Iterative methods Internal etching Metering
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
Online-Zugang:	Volltext
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