Two relatively independent areas of visual cognition research examine important aspects of visual object understanding: Object Recognition and Perceptual Categorization. These areas have focused on ...

Visual objects in the real world are seen in contextual scenes. These contexts are usually coherent in terms of their physical and semantic content, and they usually occur in typical configurations.

When it comes to navigating their surroundings, machines have a natural disadvantage compared to humans. To help hone the ...

Take a moment and look at a picture near you. What did you see? How long did it take you to understand what was in the image, meaning how long did it take you to realize the green blob was a tree? Or ...

When the eyes are open, visual information flows from the retina through the optic nerve and into the brain, which assembles this raw information into objects and scenes. Scientists have previously ...

The machine-learning programs that underpin their ability to “see” still have blind spots—but not for much longer ...

Visual object recognition is foundational to processes of categorization, tool use, and real-world problem solving. Despite considerable effort across many disciplines and many specific advances, ...

“Smart” cameras are to be found in millions of homes, but the truth is they’re not all that smart. Facial recognition and motion detection are their main tricks… but what if you want to know if the ...

The first study of individual variation in visual ability has shown that there is a broad range of differences in people's capability for recognizing and remembering novel objects and has determined ...

When we have a thought, what is the first form that it takes? In all likelihood, it is an image — a visual representation of a feeling, an idea, a memory. We live in a highly visible world, and before ...