Specular free spectral imaging using orthogonal subspace projection
Specularity is an important issue in computer vision. Many algorithms have been proposed to remove highlights for color images. However, to our knowledge, no work has been done so far which specifically handles highlights in spectral imaging. In this paper, we introduce a specular invariant representation for hyperspectral images based on the dichromatic model and orthogonal subspace projection. It is a simple one step algorithm which only involves pixel-level operations, thus it does not...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of the 18th International Conference on Pattern Recognition|
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.