We study the use of kernel subspace methods that learn low-dimensional subspace representations for classification tasks. In particular, we propose a new method called kernel weigh...
In this paper we present a technique for the tracking of textured almost planar object. The target is modeled as a noisy planar cloud of points. The tracking is led with an approp...
We consider the problem of automatically learning color enhancements from a small set of sample color pairs, and describing the enhancement by a three-dimensional look-uptable tha...
Magnetic Resonance (MR) images often exhibit grayscale nonuniformities, caused by radio frequency (RF) coil design or acquisition sequences. Many algorithms to remove these nonuni...
In this paper we present a no-reference video quality metric based on individual measurements of three artifacts: blockiness, blurriness, and noisiness. The set of artifact metric...
Mylene Christine Queiroz de Farias, Sanjit K. Mitr...