RESEARCH:
The primary mission of our lab is to develop a theory of human object recognition. The ultimate test of any such theory is to encode it as a robust computer algorithm. Such an algorithm should be able to recognize objects under highly variable and unconstrained conditions.
Highly variable and unconstrained conditions are the norm in the visual environment encountered by humans. Therefore we focus on understanding the structure found in natural images and perform psychophysics using natural or naturalistic images.
We are interested in all sources of image variance including viewpoint, illumination, and background. Mechanisms of intentional and accidentally occurring camouflage are also interesting, since they are the primary sources of image complexity.
Image DatabaseEmbryo Generator
This page meets the standards for University, national, and international W3C compliance regulations.
|
|
|
|