Exemplar Based Filtering of 2.5D Meshes of Faces

In Section 8, we present a theoretical model for estimat- ing the size of an isosurface, based on Itoh & Koyamada’s estimate 8 that O N 2 3 of the cells intersect any given

Then an energy is minimized under the constraint, so that each vertex of the surface mesh remains within the eight vox- els adjacent to the initial position of the vertex.. Since

Every vertex (x, y) of both polylines is placed as follows: the length x is traced along the chain of exposed edges from the starting point; from the point thus found, a path of

We present Reality Filtering, an application that makes it possible to visualize original content like drawings or paintings of buildings and frescos seamlessly superimposed on

We achieve this using a very small set of prior knowledge in the form of facial expressions and phonemes, which is used to fit a Gaussian mixture model that maps sketched strokes

We propose to tackle this problem from the filtering point of view, by com- bining an optical flow reconstruction with an independent inpainting of each frames within a Kalman

As with raster texture synthesis, GTS algorithms are usually example-based: the user provides an exemplar (a “typical” distri- bution of motifs within a small area) and the

We first detect facial feature points, and create the point correctors for regions of each feature, and only use the correspondent regions for correcting a point of the filtered