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| The Active Perception
Laboratory (APL) is an interdisciplinary research
center in the School
of Computer Science at Carnegie Mellon and the Center for the Neural Basis of
Cognition
-- a collaboration between Carnegie Mellon and the University of
Pittsburgh. The primary mission of the APL is to discover and elucidate
the organizing computational principles and the neural basis of vision
by integrating concepts and techniques from physics, mathematics,
computer science and electrophysiology. |
Director: Dr. Tai Sing Lee,
Associate Professor of Computer Science and Neural Basis of Cognition.
Mellon Institute 115
Carnegie Mellon University
4400 Fifth Avenue
Pittsburgh, PA 15213
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Lab News:
Using our database
of
natural range (depth) and intensity images, we
have developed an algorithm for enhancing low-resolution 3D shape
estimates by using a full-resolution intensity image (see NIPS 2006).
This is useful for cleaning up stereo output or inexpensive range
scans. Our algorithm was twice as effective at reducing sum-squared
error than Shape
Recipes, a previous leading approach.
In this paper, we also show that in natural scenes, even in sunny
outdoor conditions, shadow cues may be stronger for inferring depth
than classical shading cues. This finding is related to our previous
discovery that darker pixels in an image tend to be farther away (see JOSA 2003),
which is related to the psychophysical depth cue of relative
brightness:
Among bodies equal
in
size and distance, that which shines the more brightly seems to the eye
nearer.
- Leonardo da Vinci
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Computational Neuroscience research at Carnegie Mellon.
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