For the last three years I have been working on the development of the
PennEyes
binocular camera platform (PennEyes - A Binocular
Active Vision System (1.3M), Technical Report MS-CIS-95-37/GRASP LAB
396).
I have been using PennEyes to study issues in visual servoing
and control such as redundant, three-dimensional tracking and image
quality of moving objects captured from a moving platform.
Another project I am working on is the application of
active vision to telepresence. We (in collaboration with
Hany Farid)
have developed a technique to acquire arbitrary views of a remote scene
using an array of active cameras (Active Vision and
Virtual Reality (3.3M), in: Exploratory Vision: The
Active Eye, Michael S. Landy, Laurence T. Maloney and Misha Pavel
(Eds.), Springer-Verlag, New York, 1995).
Using the electronic aperture facility available on some electronic
cameras, I have developed a procedure to combine images taken with
different temporal integration times into a single floating point
representation. The
Extended
Intensity Range Images (1.1M) allow for the representation of the range of
intensities found in real world images within a single image.
Lambertian reflectance within deep shadow as well as intense specularity
can be represented with equipoise.
I am currently working with the Laboratory for the Study of the Brain in
Sleep in the Veterinary School applying signal processing techniques to the
estimation of biological waveforms in the presence of overlap and noise.
I have created a Matlab interface, called
PoGO (abstract of a version presented at the World
Federation of Sleep Conference, Nassau, Bahamas in September, 1995), for
the analysis of pontogeniculooccipital waves recorded from the lateral
geniculate nucleus of cats.
I have developed a computational model of early
visual processing that extends the vector magnitude
formulation of probability summation at detection to include discrimination.
The model was initially applied to measures of spatial acuity and
reconciled the sensitivity of observers
to grating and resolution targets with that obtained with hyperacuity stimuli.
The model is also applicable to the assessment of
the spatial distribution of perceived differences in suprathreshold stimuli.