Abstract
This paper addresses the question of what can be said about the colors in images that is independent of illumination. We make two main assumptions: Firstly, the illumination can be characterized as Planckian (a realistic assumption for most real scenes). Secondly, the camera behaves as if it were equipped with narrow band sensors (true for a large number of cameras). An alternative set of assumptions (with broad-band sensors) leading to the same invariant expression is also presented to show the robustness of the invariant.The resulting physics-based method results in a transformation of the original color image to a grey-scale one which does not vary with illumination. Experiments demonstrate that the distribution of grey-scale invariants in an image is a reliable cue for illumination independent object recognition.
| Original language | English |
|---|---|
| Pages | 85-90 |
| Number of pages | 6 |
| Publication status | Published - Nov 2000 |
| Event | 8th Color Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications - Scottsdale, United States Duration: 1 Nov 2000 → … |
Conference
| Conference | 8th Color Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications |
|---|---|
| Country/Territory | United States |
| City | Scottsdale |
| Period | 1/11/00 → … |
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