Visual extrapolation of contour geometry.

Supporting information for: Visual extrapolation of contour geometry

Effective Removal of Artifacts from Views Synthesized using Depth Image Based Rendering

Depth Image Based Rendering (DIBR), as a freeviewpoint synthesis technique, enables interactive selection of the view for watching. However, many rendering methods based on DIBR usually bring contour, crack and disocclusion artifacts. To address these problems, we propose effective methods to remove these artifacts. Firstly, before warping, the reference depth maps and color images are analyzed...

Bayesian contour extrapolation: Geometric determinants of good continuation

We investigated whether observers use rate of change of curvature in visually extrapolating contour shape. Arcs of Euler spirals with positive or negative rate of change of curvature gamma (hence linearly increasing or decreasing curvature) disappeared behind the straight-edge of a half-disk occluder. Observers adjusted the position and the orientation of a line probe around the curved portion ...

Visual Salience Estimation of 3D Mesh Models

The visual salience is an important property of 3D mesh model. There are many metric, including methods based on geometry and ones based on images. It is difficult for the former to infer the direct relationship between geometry and visual stimuli, and the latter is affected by the viewpoint and light source. The visual salience of 3D mesh geometry elements, such as the vertex, edge and patch, ...

Visual representation of contour and shape

Contours provide an essential source of information about shape and, along contours, points with the greatest magnitude of curvature tend to be most informative. This concentration of information is closely tied to internal generative models of contours employed by the visual system. In going from open to closed contours, the sign of curvature becomes perceptually significant, with negative-cur...