Vision-Realistic Rendering: Simulation of the Scanned Foveal Image with Elimination of Artifacts due to Occlusion and Discretization

Author(s):  
Brian A. Barsky
Keyword(s):  
Author(s):  
Xiaoming Deng ◽  
Yinda Zhang ◽  
Jian Shi ◽  
Yuying Zhu ◽  
Dachuan Cheng ◽  
...  

1996 ◽  
Vol 12 (2) ◽  
pp. 62-74 ◽  
Author(s):  
Michael Gervautz ◽  
Christoph Traxler

Author(s):  
Yoshinori Dobashi ◽  
Tsuyoshi Yamamoto ◽  
Tomoyuki Nishtia

Perception ◽  
2017 ◽  
Vol 46 (9) ◽  
pp. 1062-1076 ◽  
Author(s):  
Brandon Mader ◽  
Martin S. Banks ◽  
Hany Farid

The past two decades have seen remarkable advances in photo-realistic rendering of everything from inanimate objects to landscapes, animals, and humans. We previously showed that despite these tremendous advances, human observers remain fairly good at distinguishing computer-generated from photographic images. Building on these results, we describe a series of follow-up experiments that reveal how to improve observer performance. Of general interest to anyone performing psychophysical studies on Mechanical Turk or similar platforms, we find that observer performance can be significantly improved with the proper incentives.


2021 ◽  
Author(s):  
Anatoli Lisih ◽  
Aleksandr Anikeev ◽  
Andrey Zhdanov ◽  
Dmitry Zhdanov

Author(s):  
Patrick Esser ◽  
Johannes Haux ◽  
Timo Milbich ◽  
Björn Ommer

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