Concepedia

Concept

visual perception (computer vision)

Parents

1.4K

Publications

149.5K

Citations

2.4K

Authors

783

Institutions

About

Visual perception (computer vision) is the computational process by which artificial systems analyze, interpret, and understand visual information derived from digital images or video streams. This field develops algorithms and models designed to mimic or achieve capabilities analogous to biological visual perception, focusing on tasks such as object recognition, scene understanding, spatial reasoning, and motion analysis. It forms a fundamental area within image analysis, translating raw visual data into meaningful representations that enable machines to interact with and respond to their visual environment, and is distinct from the study of visual perception within experimental psychology, which investigates human sensory and cognitive processes.

Top Authors

Rankings shown are based on concept H-Index.

JJ

Cornell University

RG

North Carolina State University

MH

Eunice Kennedy Shriver National Institute of Child Health and Human Development

GR

University of Washington

JR

Rice University

Top Institutions

Rankings shown are based on concept H-Index.

University of Oxford

Oxford, United Kingdom

Harvard University

Cambridge, United States

Cornell University

Ithaca, United States

University College London

London, United Kingdom