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UCSD Computer Vision

Assistive Technology for the Visually Impaired

Serge Belongie, Kai Wang, Carolina Galleguillos, Stephan Steinbach, Michele Merler, Tom Duerig, John Miller


more info on: http://grozi.calit2.net

Synopsis

The contemporary urban environment is brimming with rich visual cues that provide valuable directional and informational content to sighted individuals. The goal of the GroZi project is to make significant advances toward making these visual cues universally accessible in a variety of real-world domains.


Related Publications


2009
Faymonville P., Wang K., Miller J., Belongie S., "CAPTCHA-based Image Labeling on the Soylent Grid", Human Computation Workshop (HCOMP), Paris, France, 2009. [BibTex][pdfpdf]
2007
Merler M., Galleguillos C., Belongie S., "Recognizing Groceries in situ Using in vitro Training Data", SLAM, Minneapolis, MN, 2007. [BibTex][pdf]