Washington, Sept. 29 (ANI): Unidentifiable blurred images become understandable once they are set in motion, a new research has revaled.
According to the report by Jing Samantha Pan, MA, and Geoffrey P. Bingham, PhD, of Indiana University, Bloomington, said that the concept of optic flow "has important implications for understanding of the daily functioning of observers with low vision."
She said that for low-vision observers, static image information is not the only (or perhaps even the primary) source of information about [their] surroundings.
The researchers designed a study to assess the contributions of static images and optic flow to identifying events in the environment.
They took short videos of everyday activities, such as a woman pouring a drink, a man bowling, and two people dancing. The black-and-white videos were then blurred-similar to what might be seen by a person with low vision-and split into 20 frames.
Volunteers with normal vision were then presented with the blurred images and asked to describe what they saw. First, static images were presented one at a time. Next, the images were set in motion by playing the frames in sequence.
When viewing the blurred, static images, the volunteers were usually unable to perceive what was going on. They correctly identify the event pictured in less than 30 percent of attempts.
In contrast, when participants viewed the moving images, the rate of correct identification increased to nearly 90 percent
The study has been published in Optometry and Vision Science. (ANI)