CMSC828J Term Project Report
نویسنده
چکیده
I investigate bag-of-feature model for object recognition. The baseline method uses difference of Gaussian as key point detector, SIFT as descriptor, k-means as quantization method, and naive Bayesian classifier. I also explore other methods occurring at different stages in this model. They include random sampling, hierarchical k-means, and support vector machine. Experiment and performance evaluation of these methods is performed on Caltech-4 data set.
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تاریخ انتشار 2009