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ICMCS
1999
IEEE

Image Indexing and Retrieval Using Image-Derived, Geometrically and Illumination Invariant Features

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Image Indexing and Retrieval Using Image-Derived, Geometrically and Illumination Invariant Features
In this paper, we propose novel image-derived features for image indexing and retrieval in digital library applications. The new features capture the intrinsic geometry and color properties of an imaged object. That is, these features are insensitive to the change of an object's appearance due to incidental environmental factors such as rigid motion, ane shape deformation, changes of parameterization and scene illumination, and view point change. Recording both intrinsic shape and color information of an imaged object, these features allow the similarity between two objects to be accurately measured. Hence, they can be used to index objects of the same class with similar appearance (e.g., dierent airplanes) instead of objects of dierent classes (e.g., airplanes vs. automobiles).
Ronald-Bryan O. Alferez, Yuan-Fang Wang
Added 03 Aug 2010
Updated 03 Aug 2010
Type Conference
Year 1999
Where ICMCS
Authors Ronald-Bryan O. Alferez, Yuan-Fang Wang
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