![]() ![]() We first revisit the visual perceptual models related to foveated rendering. In this survey, we review foveated rendering research from 1990 to 2021. The third is to integrate foveated rendering into existing rendering paradigms to improve rendering performance. The second is to render the image with different qualities according to foveation principles. The first is to apply perceptual models of the human visual system into foveated rendering. Foveated rendering research has a history of 31 years and is mainly focused on solving the following three problems. It takes advantage of human eyes’ inherent features and renders different regions with different qualities without sacrificing perceived visual quality. Foveated rendering is a promising technique that can accelerate rendering. Current computing devices cannot efficiently render these complex scenes in real time, and delayed rendering makes the content observed by the user inconsistent with the user’s interaction, causing discomfort. These applications must simulate different complex material surfaces, various dynamic objects, and complex physical phenomena, increasing the complexity of VR scenes. Recently, virtual reality (VR) technology has been widely used in medical, military, manufacturing, entertainment, and other fields. Although we discuss other explanations, the results suggest that neither reentrant processing from higher to lower levels nor advance information about the stimulus is necessary for the conscious detection of rapidly presented, complex visual information. The results are consistent with feedforward models, in which an initial wave of neural activity through the ventral stream is sufficient to allow identification of a complex visual stimulus in a single forward pass. ![]() Detection improved with increasing duration and was better when the name was presented before the sequence, but performance was significantly above chance at all durations, whether the target was named before or only after the sequence. Participants were to detect a picture specified by a name (e.g., smiling couple) that was given just before or immediately after the sequence. Here we assess the minimum viewing time needed for visual comprehension, using rapid serial visual presentation (RSVP) of a series of six or 12 pictures presented at between 13 and 80 ms per picture, with no interstimulus interval. The visual system is exquisitely adapted to the task of extracting conceptual information from visual input with every new eye fixation, three or four times a second. ![]()
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