British actress Tessa Coates shared how she “The fabric of reality collapsed“When she took a photo with her iPhone while trying on a wedding dress. The thing is that the girl and two reflections in the picture took three different hand positions.
In the photo, Coates himself is standing with one arm down and the other bent at the elbow. In the photo, both arms were lowered in the left reflection, while in the right reflection, both arms were bent at the elbows. The woman noted that she wasn’t using any special modes available on the iPhone – it was a “normal photo” and that horrified her. “I looked at the photo and had a real panic attack. [прямо] on the street”she wrote on the social network.
To solve the mystery, Coates went to the Apple Store. There, an advisor named Roger explained this to her “iPhone is not a camera, it is a computer”. “It takes a series of photos very quickly, even if they are panoramic and panoramic photos [собственно] serial shooting”, explained the actress. Roger said that at that moment she moved her hands and the camera took pictures, moving from left to right so that different images could be seen on opposite sides of the photo. The images were compiled by an artificial intelligence algorithm.
Roger also explained that Apple began testing a similar feature with the release of the Google Pixel 8 smartphone, which quickly takes multiple photos when taking photos and then selects the best one. But the bizarre effect that Coates accidentally achieved in a wedding dress shop is canceled “once in a million”.
In recent years, smartphone manufacturers have made significant strides in the quality of photography, but these results cannot be explained by improvements in the devices’ hardware. Various algorithms had the greatest impact on photo quality – computational photography. For example, when you press the shutter button, the smartphone takes several pictures and quickly selects the best one. And with a high-resolution sensor, data from multiple neighboring pixels is combined, improving overall image quality in low-light conditions.