Compressed sensing, an emerging multidisciplinary field involving mathematics, probability, optimization, and signal processing, focuses on reconstructing an unknown signal from a...
Shiqian Ma, Wotao Yin, Yin Zhang, Amit Chakraborty
We consider the problem of reconstructing patterns from a feature map. Learning algorithms using kernels to operate in a reproducing kernel Hilbert space (RKHS) express their solu...
In digital imaging applications, data are typically obtained via a spatial subsampling procedure implemented as a color filter array--a physical construction whereby only a single...
We present a novel method for solving the challenging problem of generating 3D models of generic object categories from just one single un-calibrated image. Our method leverages t...
Min Sun, Shyam Sunder Kumar, Gary R. Bradski, Silv...
Corners and curves are important image features in many vision-based applications. Corners are usually more stable and easier to match than curves,while curves contain richer info...