Frequency-axis light transport and topological effects in dynamic photonic structures

2017 ◽  
Author(s):  
Luqi Yuan ◽  
Yu Shi ◽  
Shanhui Fan
Keyword(s):  
Light Transport ◽  
Photonic Structures ◽  
Axis Light ◽  
Frequency Axis

Light transport in PT photonic structures with hidden symmetries

CLEO: 2014 ◽  
2014 ◽  
Author(s):  
M.H. Teimourpour ◽  
R. El-Ganainy ◽  
A. Eisfeld ◽  
D.N. Christodoulides
Keyword(s):  
Light Transport ◽  
Hidden Symmetries ◽  
Photonic Structures

scholarly journals Spatio-temporal visualization of light transport in complex photonic structures

2016 ◽  
Vol 5 (5) ◽  
pp. e16090-e16090 ◽  
Author(s):  
Lorenzo Pattelli ◽  
Romolo Savo ◽  
Matteo Burresi ◽  
Diederik S Wiersma
Keyword(s):  
Light Transport ◽  
Photonic Structures ◽  
Spatio Temporal

scholarly journals Light transport inPT-invariant photonic structures with hidden symmetries

2014 ◽  
Vol 90 (5) ◽  
Author(s):  
M. H. Teimourpour ◽  
R. El-Ganainy ◽  
A. Eisfeld ◽  
A. Szameit ◽  
D. N. Christodoulides
Keyword(s):  
Light Transport ◽  
Hidden Symmetries ◽  
Photonic Structures

Skin Chromophore Estimation from Mobile Selfie Images using Constrained Independent Component Analysis

2020 ◽  
Vol 2020 (14) ◽  
pp. 357-1-357-6
Author(s):  
Luisa F. Polanía ◽  
Raja Bala ◽  
Ankur Purwar ◽  
Paul Matts ◽  
Martin Maltz
Keyword(s):  
Independent Component Analysis ◽  
Spectral Reflectance ◽  
Source Separation ◽  
Principal Component ◽  
Component Analysis ◽  
Previous Method ◽  
Independent Component ◽  
Light Transport ◽  
Camera Model ◽  
Constrained Independent Component Analysis

Human skin is made up of two primary chromophores: melanin, the pigment in the epidermis giving skin its color; and hemoglobin, the pigment in the red blood cells of the vascular network within the dermis. The relative concentrations of these chromophores provide a vital indicator for skin health and appearance. We present a technique to automatically estimate chromophore maps from RGB images of human faces captured with mobile devices such as smartphones. The ultimate goal is to provide a diagnostic aid for individuals to monitor and improve the quality of their facial skin. A previous method approaches the problem as one of blind source separation, and applies Independent Component Analysis (ICA) in camera RGB space to estimate the chromophores. We extend this technique in two important ways. First we observe that models for light transport in skin call for source separation to be performed in log spectral reflectance coordinates rather than in RGB. Thus we transform camera RGB to a spectral reflectance space prior to applying ICA. This process involves the use of a linear camera model and Principal Component Analysis to represent skin spectral reflectance as a lowdimensional manifold. The camera model requires knowledge of the incident illuminant, which we obtain via a novel technique that uses the human lip as a calibration object. Second, we address an inherent limitation with ICA that the ordering of the separated signals is random and ambiguous. We incorporate a domain-specific prior model for human chromophore spectra as a constraint in solving ICA. Results on a dataset of mobile camera images show high quality and unambiguous recovery of chromophores.

scholarly journals Coherent control of light transport in a dense and disordered atomic ensemble

2015 ◽  
Vol 91 (5) ◽  
Author(s):  
A. S. Sheremet ◽  
D. F. Kornovan ◽  
L. V. Gerasimov ◽  
B. Gouraud ◽  
J. Laurat ◽  
...  
Keyword(s):  
Coherent Control ◽  
Light Transport ◽  
Atomic Ensemble
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