@InProceedings{KruegerOlivKron:2016:PeViSi,
               author = "Krueger, Matheus Luan and Oliveira Neto, Manuel Menezes de and 
                         Kronbauer, Airton Leite",
          affiliation = "UFRGS and UFRGS and CORS",
                title = "Personalized visual simulation and objective validation of 
                         low-order aberrations of the human eye",
            booktitle = "Proceedings...",
                 year = "2016",
               editor = "Aliaga, Daniel G. and Davis, Larry S. and Farias, Ricardo C. and 
                         Fernandes, Leandro A. F. and Gibson, Stuart J. and Giraldi, Gilson 
                         A. and Gois, Jo{\~a}o Paulo and Maciel, Anderson and Menotti, 
                         David and Miranda, Paulo A. V. and Musse, Soraia and Namikawa, 
                         Laercio and Pamplona, Mauricio and Papa, Jo{\~a}o Paulo and 
                         Santos, Jefersson dos and Schwartz, William Robson and Thomaz, 
                         Carlos E.",
         organization = "Conference on Graphics, Patterns and Images, 29. (SIBGRAPI)",
            publisher = "IEEE Computer Society´s Conference Publishing Services",
              address = "Los Alamitos",
             keywords = "personalized visual simulation, low-order aberrations, fourier 
                         optics, PSF.",
             abstract = "We present a practical approach for personalized simulation and 
                         objective validation of the effects of low-order aberrations 
                         (i.e., myopia, hyperopia and astigmatism) on optical systems, such 
                         as the human eye. We characterize the optical aberrations using a 
                         wavefront aberration function derived from one's eyeglasses or 
                         contact lenses prescription data, expressed in terms of Zernike 
                         polynomials. Given the prescription data, a target image at known 
                         distance from the subject, and a specified pupil size, the 
                         simulation efficiently computes the corresponding aberrated view. 
                         We validate the quality of our simulations using ground truth data 
                         captured by a camera with the same kind of aberrations. For 
                         validation, we use three objective metrics: structural similarity 
                         (SSIM), peak signal-to-noise ratio (PSNR), and absolute pixelwise 
                         differences (AD) between the simulated images and the ones 
                         captured by the camera with induced aberrations. Our results 
                         achieved a SSIM mean value of 0.93 (minimum of 0.91) and a PSNR 
                         mean value of 35.50 dB (minimum of 29.50 dB), showing that they 
                         are structurally similar and virtually indistinguishable from the 
                         ground truth images captured by the camera.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
      conference-year = "4-7 Oct. 2016",
                  doi = "10.1109/SIBGRAPI.2016.018",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2016.018",
             language = "en",
                  ibi = "8JMKD3MGPAW/3M4TA4H",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3M4TA4H",
           targetfile = "PID4363883.pdf",
        urlaccessdate = "2024, May 01"
}