Abstract--This paper offers a new technique for spatially adaptive estimation. The local likelihood is exploited for nonparametric modeling of observations and estimated signals. T...
We describe an empirical study on the feature space of interest points for natural images. Although local features have been widely used in image analysis as building blocks of va...
A new approach is presented for 3D shape recovery of local planar surface patches from two shift/spacevariant defocused images. It is based on a recently proposed technique for in...
We study the problem of image denoising where images are assumed to be samples from low dimensional (sub)manifolds. We propose the algorithm of locally linear denoising. The algor...
We describe a recursive algorithm to quickly compute the N nearest neighbors according to a similarity measure in a metric space. The algorithm exploits an intrinsic property of a...