More Local Structure Information for Make-Model Recognition
نویسنده
چکیده
An object classification technique is proposed to solve a vehicle make and model recognition task. Edges of the back end of vehicles are extracted from images. These edges are processed into line segments which contain more local structure information than interest point based characterization can encode. Object matching is performed by comparing the sets of line segments by a Hausdorff distance. The method is tested on a database of vehicle images [2].
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