: This paper proposes a novel algorithm for calibrated multi-view stereopsis that outputs a (quasi) dense set of rectangular patches covering the surfaces visible in the input imag...
Abstract. We formulate a robust method using Expectation Maximization (EM) to address the problem of dense photometric stereo. Previous approaches using Markov Random Fields (MRF) ...
In this paper we propose an extension to the standard Markov Random Field (MRF) model in order to handle layers. Our extension, which we call a Factorial MRF (FMRF), is analogous t...
An algorithm for video resolution enhancement is presented. The approach borrows from previous methods for still-image superresolution, introducing modifications better suited for...
Multi-projector super-resolution is the dual of multi-camera superresolution. The goal of projector super-resolution is to produce a high resolution frame via superimposition of m...