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

During recognition, a single object can activate appropriate context frames, and context frames can activate representations of expected objects.

MIT neuroscientists compared the visual object recognition performance of primate brains to that of the latest deep neural networks, which try to mimic our visual system. They found that the best ...

On the whole, people recognize objects best when they see the objects from a familiar view and worse when they see the objects from views that were previously occluded from sight. Unexpectedly, we ...

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, ...

Skeletal shapes key to rapid recognition of objects A new insight into the human vision system Date: August 20, 2019 Source: Emory Health Sciences Summary: In the blink of an eye, the human visual ...

As a result, performance on visual recognition tests that use images of common objects are a complex mixture of people's visual ability and their experience with these objects.

More specifically, the convergence of Object Recognition, Machine Vision, and Neural Networks enables machines to see and understand what it is they are seeing.

Recently, Financial界 reported that a patent from Dalian Taihe Electromechanical Equipment Co., Ltd. (hereinafter referred to as "Dalian Taihe Electromechanical") titled "An AGV Robot with a Visual ...

Visual One smartens up home security cameras with object and action recognition Devin Coldewey 10:03 AM PDT · March 11, 2020 ...