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. Image keys are created that allow for Local ge-ometric deformations by representing blurred image gradi-ents in multiple orientation planes and at multiple keys are used as input to a nearest-neighbor indexingmethod that identifies candidate Object matches.
a staged filtering approach that identifies stable points in scale space. Image keys are created that allow for local ge- ... Thispaper presents a new method for image feature gen-erationcalled the Scale InvariantFeature Transform (SIFT). ... propertiesin common withtheresponses of neuronsin infe-rior temporal (IT) cortex in primate vision ...
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