Transcription of Object Recognition from Local Scale-Invariant Features
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Object Recognition from Local Scale-Invariant Features
Object Recognition from Local Scale-Invariant FeaturesDavid G. LoweComputer Science DepartmentUniversity of British ColumbiaVancouver, , V6T 1Z4, of the International Conference onComputer Vision,Corfu (Sept. 1999)An Object Recognition system has been developed that uses anew class of Local image Features . The Features are invariantto image scaling, translation, and rotation, and partially in-variant to illumination changes and affine or 3D Features share similar properties with neurons in in-ferior temporal cortex that are used for Object recognitionin primate vision. Features are efficiently detected througha staged filtering approach that identifies stable points inscale space.
An alternative to searching all image locations for matches is to extract features from the image that are at least partially invariant to the image formation process and matching only to those features. Many candidate feature types have been proposed and explored, including line seg-ments [6], groupings of edges [11, 14], and regions [2],
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