Software Engineering White Papers
A Novel Feature Descriptor Invariant to Complex Brightness Changes
Overview This paper describes a novel and robust feature descriptor called Ordinal Spatial Intensity Distribution (OSID) which is invariant to any monotonically increasing brightness changes. Many traditional features are invariant to intensity shift or affine brightness changes but cannot handle more complex nonlinear brightness changes, which often occur due to the nonlinear camera response, variations in capture device parameters, temporal changes in the illumination, and viewpoint-dependent illumination and shadowing. A configuration of spatial patch sub-divisions is defined, and the descriptor is obtained by computing a 2-D histogram in the intensity ordering and spatial sub-division spaces. Extensive experiments show that the proposed descriptor significantly outperforms many state-of-the-art descriptors such as SIFT, GLOH, and PCA-SIFT under complex brightness changes.
| Publisher | Institute of Electrical and Electronics Engineers | File Format | |
|---|---|---|---|
| Date Published | April 2009 | ||
| Format | White Papers | ||
| Topics | |||
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