We introduce a novel local image descriptor designed for dense wide-baseline matching purposes. We feed our descriptors to a graph-cuts based dense depth map estimation algorithm ...
Invariant feature descriptors such as SIFT and GLOH have been demonstrated to be very robust for image matching and visual recognition. However, such descriptors are generally par...
Dynamic texture is an extension of texture to the temporal domain. In this paper, a new method for recognizing dynamic textures is proposed. The textures are modeled with concaten...
A descriptor is presented for characterizing local image patches in a scale invariant manner. The descriptor is biologicallyplausible in that the necessary computations are simple ...
Abstract. This paper introduces a new framework for image classification using local visual descriptors. The pipeline first performs a nonlinear feature transformation on descripto...