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I am currently the computer vision director at Videosurf, a company that applies computer vision technology to a search engine for videos.
As a director, I am leading the development of the face-detection and recognition technology. I was a Visiting scientist at the Division of Applied Mathematics Brown University Office: Room 310, 182 George St, Providence, RI 02912 Phone: (401) 863-7422 email:  |
My research focuses on machine and human vision, in particular object classification and recognition, figure-ground segmentation, the interaction between top-down and bottom-up visual processes and other problems related to perceptual organization. The aim is to better understand and imitate the processes of human vision through mathematical models that account for our ability to know "what" is in an image and "where" it is.
The horse, runners and cars databases were
collected via google image and then manually labelled for testing
figure-ground segmentation. For further elaboration, please refer to our
related publications above (ECCV2002, ECCV2004,CVPR2004,CVPR2006).
Please feel free to download and use these database, providing you reference
one of the above papers.
The Weizmann Horse Database consists of 328 side-view color images of
horses that were also manually segmented. The images were randomly collected
from the WWW to evaluate the top-down segmentation scheme as well as its
combination with bottom-up processing. Note however that in our experiments
we do not use RGB information and the images are given in this format just
for your conveneince.
Entire database (19.5Mb) including:
Horses (RGB) (14Mb)
Horses (grey) (4Mb)
Horses (figure-ground) (1.3Mb)