| Han Gong |
| Tue 26 Jan 2016, 14:00 - 15:00 |
| IF 4.31/4.33 |
If you have a question about this talk, please contact: Magda Nowak (mnowak)
Abstract
Images of coplanar points in 3-dimensional space taken from different camera positions are a homography apart. Homographies are at the heart of geometric methods in computer vision and are used in geometric camera calibration, 3D reconstruction, stereo vision and image mosaicking amongst other tasks. In this talk, we show the surprising result that homographies are the apposite tool for relating image colors of the same scene when the capture conditions
- illumination color, shading and device - change.
Two applications of color homographies are investigated. First, we show that color calibration is correctly formulated as an homography problem. Second, we compare the chromaticity distributions of an image of a colorful objects to a database of object chromaticity distributions using homography matching. The best homography match is used to identify the object.