Local features are widely used for content-based image retrieval and object recognition. We present an efficient method for encoding digital images suitable for local feature extr...
Mina Makar, Chuo-Ling Chang, David M. Chen, Sam S....
In this paper, we propose a method for extracting image features which utilizes 2 nd order statistics, i.e., spatial and orientational auto-correlations of local gradients. It enab...
Maximum Margin Criterion (MMC) based Feature Extraction method is more efficient than LDA for calculating the discriminant vectors since it does not need to calculate the inverse ...
Wankou Yang, Jianguo Wang, Mingwu Ren, Jingyu Yang
Existing feature extraction methods explore either global statistical or local geometric information underlying the data. In this paper, we propose a general framework to learn fea...
Shuang-Hong Yang, Hongyuan Zha, Shaohua Kevin Zhou...
The problem of image super-resolution from a set of low resolution multiview images has recently received much attention and can be decomposed, at least conceptually, into two con...