Area:
Visual texture and motion perception
We are testing a new system for linking grants to scientists.
The funding information displayed below comes from the
NIH Research Portfolio Online Reporting Tools and the
NSF Award Database.
The grant data on this page is limited to grants awarded in the United States and is thus partial. It can nonetheless be used to understand how funding patterns influence mentorship networks and vice-versa, which has deep implications on how research is done.
You can help! If you notice any innacuracies, please
sign in and mark grants as correct or incorrect matches.
Sign in to see low-probability grants and correct any errors in linkage between grants and researchers.
High-probability grants
According to our matching algorithm, Charles F. Chubb is the likely recipient of the following grants.
| Years |
Recipients |
Code |
Title / Keywords |
Matching
score |
| 2009 — 2013 |
Chubb, Charles
Sperling, George (co-PI) [⬀] |
N/AActivity Code Description:
No activity code was retrieved: click on the grant title for more information |
Preattentive Visual Sensitivity @ University of California-Irvine
People have an extraordinary ability to almost instantly characterize objects by their lightness and color. People have a corresponding ability to characterize surfaces and objects by their visual texture properties. In their NSF-funded research project, Charles Chubb and George Sperling at UC Irvine will use new experimental paradigms and new analytic methods (involving perturbation methods and dimensional analysis) to characterize humans' ability to perceive textures. These procedures have already enabled the investigators to isolate previously unknown texture-perception mechanisms. The current project now applies these procedures to the formal systematic description and characterization of the vast range of human texture-perception mechanisms with the goal of compiling a Table of the Elementary Dimensions of Visual Sensitivity, somewhat analogous to the Periodic Table of Elements.
Understanding the elementary visual mechanisms that enable humans to accurately perceive their visual environment is of fundamental importance and ultimately is likely to have many useful applications. For example, the analysis of visual textures is carried out in the brain, so understanding these visual processes will enable a better characterization of brain injuries that interfere with these (previously unmeasured) processes. Knowing both the range and the limits of human perceptual processes will yield better understanding of what humans can and cannot perceive in images, such as medical X-rays, military camouflage, and computer displays. Indeed, simulating such human sensory abilities has been a critical element in the construction of successful robotic sensing systems.
|
0.915 |