Updated | Scientists have used a tiny pair of 3-D glasses to discover exactly how the praying mantis sees the world. For the first time, they have compared mantis vision to that of humans and found the bug interprets three dimensions in a completely different way.
The simple way the mantis sees could one day help small robots’ perception by streamlining intensive computer algorithms. The research was published Thursday in Current Biology.
In a video released alongside the research, Jenny Read, study author and professor of vision science at Newcastle University, in the U.K., describes how human vision works: Each human eye captures a slightly different picture of the world in front of us, creating a three-dimensional whole.
“Our brains match the details of these views to create one image,” Read said. “We use the differences between the two views to work out how far away things are.”
Other animals like monkeys, cats and toads can also see the world in 3-D, and the praying mantis is the only insect known to be capable of this “stereo vision.” But the researchers then investigated whether praying mantises compute 3-D images in a similar way to humans, and discovered significant differences.
The team built tiny 3-D glasses to fit the bugs and sat them in a mini–movie theater. Study author and behavioral ecologist Vivek Nityananda said in the video: “In our insect 3-D cinema, we could show the mantis tasty prey apparently hovering right in front of the mantis.” Convinced, he said, the bug grabs at the fake prey.
Next, the critters were shown much more complex stimuli—multicolored moving dot patterns, which are used to examine human 3-D vision.
Humans can recognize 3-D perspective easily in still images. The mantises, however, focused on movement. When shown two completely different images for each eye, the insects could match up areas that were changing in both. This is something humans can’t always do.
Nityananda said: “Mantises only attack moving prey, so their 3-D doesn’t need to work in still images. We found mantises don’t bother about the details of the picture but just look for places where the picture is changing. This makes their 3-D vision very robust.”
He added in a statement: “This is a completely new form of 3-D vision as it is based on change over time instead of static images…. In mantises, it is probably designed to answer the question, Is there prey at the right distance for me to catch?”
The simplicity of the mantis’s vision makes it an attractive model for vision in robotics, the scientists say. The stereo algorithms needed to interpret a 3-D world can guzzle computing power. A model based on the praying mantis’s vision could eventually help smaller robots like delivery drones detect depth.
Nityananda said, “In the future we could have simpler systems for processing 3-D information inspired by these fascinating insects.”
This article has been updated to include further comment from Vivek Nityananda.
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