Image classification using boosted local features with random orientation and location selection
We propose an image classification method using boosted randomly selected local features. We jointly consider local feature extraction, codebook generation and classifier training. The proposed method trains a series of classifiers using the boosting strategy. Experimental results demonstrate effectiveness and efficiency of the proposed method.
image classification boosting random orientation sparse coding local feature selection