Figures of merit for the optical performance of Fresnel zone light field spectral imagers (Conference Presentation)

Author(s):  
Anthony L. Franz ◽  
Jack A. Shepherd ◽  
Carlos D. Diaz
2017 ◽  
Vol 56 (8) ◽  
pp. 081811 ◽  
Author(s):  
Francis D. Hallada ◽  
Anthony L. Franz ◽  
Michael R. Hawks

2018 ◽  
Vol 57 (11) ◽  
pp. 2841 ◽  
Author(s):  
Takeshi Shimano ◽  
Yusuke Nakamura ◽  
Kazuyuki Tajima ◽  
Mayu Sao ◽  
Taku Hoshizawa

Author(s):  
Keita Yamaguchi ◽  
Yusuke Nakamura ◽  
Kazuyuki Tajima ◽  
Toshiki Ishii ◽  
Koji Yamasaki ◽  
...  

2017 ◽  
Author(s):  
Francis D. Hallada ◽  
Anthony L. Franz ◽  
Michael R. Hawks

2021 ◽  
Author(s):  
Zhenfeng Zhuang ◽  
Herman M. K. Wong ◽  
Sédick Rabia ◽  
Xavier Dallaire ◽  
Jocelyn Parent ◽  
...  

2020 ◽  
pp. 108-115 ◽  
Author(s):  
Vladimir P. Budak ◽  
Anton V. Grimaylo

The article describes the role of polarisation in calculation of multiple reflections. A mathematical model of multiple reflections based on the Stokes vector for beam description and Mueller matrices for description of surface properties is presented. On the basis of this model, the global illumination equation is generalised for the polarisation case and is resolved into volume integration. This allows us to obtain an expression for the Monte Carlo method local estimates and to use them for evaluation of light distribution in the scene with consideration of polarisation. The obtained mathematical model was implemented in the software environment using the example of a scene with its surfaces having both diffuse and regular components of reflection. The results presented in the article show that the calculation difference may reach 30 % when polarisation is taken into consideration as compared to standard modelling.


Author(s):  
Fan Hai-fu ◽  
Hao Quan ◽  
M. M. Woolfson

AbstractConventional direct methods, which work so well for small structures, are less successful for macromolecules. Where it has been demonstrated that a solution might be found using direct methods it is then found that the usual figures of merit are unable to distinguish the few good sets of phases from the large number of sets generated. The reasons for the difficulties with very large structures are considered from a first-principles approach taking into account both the factors of having a large number of atoms and low resolution data. A proposal is made for trying to recognize good phase sets by taking a large structure as a sum of a number of smaller structures for each of which a conventional figure of merit can be applied.


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