2020
DOI: 10.2352/issn.2470-1173.2020.15.color-236
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Colors before and after cataract surgery: A study of color constancy and discrimination

Abstract: Fast track article for IS&T International Symposium on Electronic Imaging 2020: Color Imaging: Displaying, Processing, Hardcopy, and Applications proceedings.

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Cited by 4 publications
(3 citation statements)
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“…With these lenses, the field of view (FOV) covered is close to 110º per eye. The authors of this paper have used the same methodology with different HMDs in other works [22], [24] and have developed a simple color characterization model for VR devices. This model is based on a typical linear transformation between the RGB' values and the XYZ tristimulus values using a 3x3 matrix.…”
Section: A Chromatic Characterization Of Head-mounted Displaymentioning
confidence: 99%
“…With these lenses, the field of view (FOV) covered is close to 110º per eye. The authors of this paper have used the same methodology with different HMDs in other works [22], [24] and have developed a simple color characterization model for VR devices. This model is based on a typical linear transformation between the RGB' values and the XYZ tristimulus values using a 3x3 matrix.…”
Section: A Chromatic Characterization Of Head-mounted Displaymentioning
confidence: 99%
“…In our hypothesis, this allows the user to obtain a more faithful image of the displayed scenario and its components. The representation of 3D objetcs with hyperspectral textures, previously presented as preliminary work [28], will improve the graphical representation of the virtual scenario. Figure 1 shows the initial representation of the project created in the virtual reality system.It shows a ColorChecker, a caps with an absolute white diffuser (Labsphere, North Sutton, NH, USA), four fruits and four geometrical figures.…”
Section: Related Workmentioning
confidence: 99%
“…One of the most innovative aspects of this work is the introduction of hyperspectral textures associated with virtual 3D objects in a Virtual Reality graphics engine [26][27][28]. To illustrate this point, we created a virtual version of the Ishihara test for detecting colorblindness.…”
Section: Hyperspectral Texturesmentioning
confidence: 99%