Signfinder: Using Color to Detect, Localize and Identify Informational Signs

We describe an approach to detecting, locating and normalizing road signs. The approach will apply provided: (i) the signs have stereotypical boundary shapes (i.e. rectangular, or hexagonal ? of course, we allow for these shapes to be distorted by projection to unknown viewpoint), (ii) the writing on the sign has one uniform color and the rest of the sign has a second uniform color (we allow for the color of the illuminant to be unknown). We show that the approach works even under significant illuminant color changes, viewpoint direction, shadowing, and occlusion. This work is part of a project intended to help people who are blind, or whose sight is impaired. In Proccedings International Conference on Computer Vision, ICCV'98. 1 Blindsight Corp. 45-A Fayerweather St. Cambridge, MA 02138.

• Type: Conference
• Year: 1998
• Where: ICCV
• Authors: Alan L. Yuille, Daniel Snow, Mark Nitzberg
• Keywords: Computer Vision, ICCV 1998, Significant Illuminant Color, Stereotypical Boundary Shapes, Uniform Color, Unknown Viewpoint