In this paper we consider the problem of estimating depth maps from multiple views within a variational framework. Previous work has demonstrated that multiple views improve the depth reconstruction, and that higher order regularisers model a good prior for typical realworld 3D scenes. We build on these findings and stress an important aspect that has not been considered in variational multivie...

̳View plus depth‘ is a 3D video representation where a single color video channel is augmented with per-pixel depth information in the form of gray-scale video sequence. This representation is a good candidate for 3D video delivery applications, as it is display agnostic and allows for some parallax adjustments. However, the quality of the associated depth is an issue, as the depth channel is us...

This paper proposes a unified probabilistic framework for real-time depth map fusion. By modeling the depth imaging process as a random experiment, the depth map fusion is converted into probability density function (pdf) estimation. The depth fusion problem is decoupled into four parts: the fusion space, the influence term, the visibility term and the confidence term. We combine these four ter...

Generation of a depth-map from 2D video is the kernel of DIBR (Depth Image Based Rendering) in 2D-3D video conversion systems. However it occupies over most of the system resource where the motion search module takes up 90% time-consuming in typical motion estimation-based depth-map generation algorithms. In order to reduce the computational complexity, in this paper a new fast depth-map genera...

In this paper, we propose an algorithm for generation of multiple depth images from one depth map using multi-baseline information. Although depth information is essential in three-dimensional (3-D) applications, the depth estimation from stereo matching is still time consuming and inaccurate. Since the real-time application like free viewpoint TV (FTV) require multiple depth information, stere...

This paper proposes a new focus measure operator for Shape From Focus to recover a dense depth map of a scene. The method can handle depth discontinuities effectively by using adaptively shaped and weighted support windows. The support window shapes and weights are determined from the image characteristics of the all-focused image of the scene. Similar and closer pixels in the support window ge...

We present a simple and practical approach for segmenting un-occluded items in a scene by actively casting shadows. By ’items’, we refer to objects (or part of objects) enclosed by depth edges. Our approach utilizes the fact that under varying illumination, un-occluded items will cast shadows on occluded items or background, but will not be shadowed themselves. We employ an active illumination ...

The ability to make three-dimensional measurements of surface topography is important to the control of quality in the fabrication ofIC wafers. We describe a technique usingshape from shadingto produce a dense depth map from ICs imaged in the scanning electron microscope. The method minimises error terms to ensure the resultant surface is everywhere continuous and accurately explains the observ...

In this paper, we propose a geometrical compensation algorithm for multiview image captured by an arc multi-camera array. To capture multiview image or multiview video, we require more than two cameras arranged on a multicamera array. This multi-camera array, however, has geometrical errors since it is manually built. These errors are related to the mismatch in the vertical and horizontal direc...

The paper summarizes the results of a large European project on the critical risk factors for Power-Two-Wheeler (PTW) safety. Analyses conducted in both a macroscopic and microscopic level in Greece, Spain, Italy, Great Britain, Austria, Finland and Germany revealed a set of critical risk factors as well as their ranking of importance. Among the research questions treated are what are the most ...