We present a data-driven approach to predict the importance of edges and construct a Markov network for image analysis based on statistical models of global and local image feature...
In this paper, we consider the problem of recovering the
spatial layout of indoor scenes from monocular images. The
presence of clutter is a major problem for existing singleview...
Abstract. This paper deals with a compact catadioptric omnidirectional stereovision system based on a single camera and multi-mirrors (at least two mirrors). Many configurations w...
In this paper, we present a generative sketch model for human hair analysis and synthesis. We treat hair images as 2D piecewisely smooth vector (flow) fields, and thus our represe...
Image classification and annotation are important problems
in computer vision, but rarely considered together. Intuitively,
annotations provide evidence for the class label,
and...