Presentation
From Human Vision to Machine Vision
DescriptionVisual computing encompasses the full range of technologies and methodologies involved in rendering, displaying, reconstructing, modeling, and recording visual data. Among the many subfields within visual computing, there has been a growing interest in two subfields in particular: human vision and machine vision. Human vision research focuses on understanding how human vision and cognition functions and using that knowledge to improve the user experience through realism, immersion, and responsiveness. In contrast, machine vision research focuses on building computational systems that complete a visual perception task, and may aim to mimic the structure or functionality of biological vision systems.
This workshop aims to facilitate dialogue and collaboration between researchers and practitioners in machine and human vision. By exploring common challenges, methodologies, and philosophical approaches, ranging from perceptually grounded models to data-driven deep learning frameworks, we hope to spark interdisciplinary discussion that drives innovation across the broader field of visual computing.
This workshop aims to facilitate dialogue and collaboration between researchers and practitioners in machine and human vision. By exploring common challenges, methodologies, and philosophical approaches, ranging from perceptually grounded models to data-driven deep learning frameworks, we hope to spark interdisciplinary discussion that drives innovation across the broader field of visual computing.
Organizers
Event Type
Technical Workshop
TimeThursday, 23 July 20269:00am - 12:15pm PDT
LocationRoom 406 AB
Art
Artificial Intelligence/Machine Learning
Augmented Reality
Computer Vision
Display
Image Processing
Spatial Computing
Virtual Reality
Full Conference Supporter
Full Conference
