For the sake of concreteness, let’s think about the problem of estimating visual depth. A commonly assumed framework for how an observer might go about judging the depth of a visual object defined by multiple visual cues is the following two-stage process. First, depth estimates based on individual cues are derived. Next, a weighted combination of these estimates is calculated and used as the o...

The problem of the linear interpolationof nonstationarymultidimensional processes with stationary increments is studied. The expressions of the interpolation filters and of the estimation error are derived, which generalize the results of the interpolation theory for stationary processes. Both finite and infinite extent interpolation are considered. An application to the interpolation of an und...

Accurate determination of denudation rates is important in understanding Earth surface system dynamics. In situ produced cosmogenic nuclides, such as Be and Al, provide a valuable insight but are not entirely free from complications. In this study, denudation rates are determined for the Abukuma Mountains, Japan, using both site-specific and basin-scale methods. Considered with density measured...

The recognition of actions that involve the use of objects has remained a challenging task. In this paper, we present a hierarchical selforganizing neural architecture for learning to recognize transitive actions from RGB-D videos. We process separately body poses extracted from depth map sequences and object features from RGB images. These cues are subsequently integrated to learn action–objec...

We present a method to estimate a dense and sharp depth map using multiple cameras. A key issue in obtaining sharp depth map is how to overcome the harmful in uence of occlusion. Thus, we rst propose an occlusion-overcoming strategy which selectively use the depth information from multiple cameras. With a simple sort and discard technique, we resolve the occlusion problem considerably at a slig...

We present a new deformable template based technique for recovering depth information from two or more images. The basic idea of our method is to use 3-D planar patches as the primitives describing the surfaces in a scene. In order to recover the depth information of a planar patch, two constraints on the view-line and the imaging geometry, and a deformable template matching based hypothesis-an...

This paper presents a method for 3D lip registration when tracking a face model from video and depth map data. The inner and outer lip contours are tracked in 2D using features obtained from Boosted Edge Learning (BEL). Given the lip contours and a reconstructed depth map, the 3D mouth region of a mesh is registered at each frame independently, accounting for the self occlusions of the lips tha...