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- W2123203601 abstract "We investigate a range of solutions in car `make and model' recognition. Several different feature detection approaches are investigated and applied to the problem including a new approach based on Harris corner strengths. This approach recursively partitions the image into quadrants, the feature strengths in these quadrants are then summed and locally normalised in a recursive, hierarchical fashion. Two different classification approaches are investigated; a k-nearest-neighbour classifier and a Naive Bayes classifier. Our system is able to classify vehicles with 96.0% accuracy, tested using leave-one-out cross-validation on a realistic dataset of 262 frontal images of cars." @default.
- W2123203601 created "2016-06-24" @default.
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- W2123203601 date "2011-08-01" @default.
- W2123203601 modified "2023-10-03" @default.
- W2123203601 title "Automatic make and model recognition from frontal images of cars" @default.
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- W2123203601 doi "https://doi.org/10.1109/avss.2011.6027353" @default.
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