When you are wearing a face mask, it may be more difficult for you to recognize people, even if they are not wearing masks.
Most AI models are unable to represent features of human vision, making them worse at recognizing images.
People who are exceptionally good at recognizing faces, or super-recognizers, divide areas of the face into parts before storing them as a composite image in the brain.
When it comes to famous logos and characters, people often experience a Visual Mandela Effect, or consistent, confident, and widespread false memories of such famous icons.
Study evaluates whether problems in facial processing and recognition in Alzheimer's disease are a result of memory impairment or visual processing deficits.
A new deep learning algorithm is able to detect how well a STEM student understands a concept based on their brain activity.
Researchers have developed a new algorithm that enables robots to identify objects hidden in 3D data. The new system may help with improving robotic vehicles and autonomous robots.
Researchers report facial recognition varies by where they appear in the visual field, and this variability is reduces through learning familiar faces via social interactions. The study reports repeated social interactions tune visual neurons in the face processing network to enable consistent and rapid rapid recognition of familiar faces.
Researchers report developmental prosopagnosia, or face blindness, occurs as the results of neurobiological problems that broadly affect visual recognition.
A new study reveals differences in a person's visual ability to recognize objects is not associated with their general intelligence.
A test that uses images of cats and dogs may prove to be a quick and effective method of predicting which patients in early stages of Parkinson's disease will develop dementia.
Researchers report humans often miss objects in plain sight, especially if the size is inconsistent with the rest of the scene.
