Depth map estimation is a prerequisite for useful plenoptic rendering algorithms, such as all-in-focus rendering and depth-based matting. We provide a simple GPU-based algorithm that estimates the depth of each pixel in the rendered image as well as the uncertainty of that estimate. We perform several rendering experiments using depth information. Finally, explore what factors harm the accuracy...

The effect of acidizing process on the stress corrosion cracking HP-13Cr stainless steel in ultra-depth well environment was studied by slow strain rate test, electrochemical measurement, microstructure observation, and finite element modeling. results indicated that significantly increased susceptibility induced fracture mode to brittle characteristic high temperature CO 2 pressure environment...

We investigate the class PBD of π-Calculus processes that are bounded in the function depth. First, we show that boundedness in depth has an intuitive characterisation when we understand processes as graphs: a process is bounded in depth if and only if the length of the simple paths is bounded. The proof is based on a new normal form for the π-Calculus called anchored fragments. Using this conc...

Three-dimensional reconstructions of icosahedral viruses from cryoelectron microscope images have reached resolutions where the microscope depth of field is a significant resolution-limiting factor. An analytical treatment presented here shows how the depth of field limitation can be understood as an envelope function which gradually attenuates the signal, starting well before the numerical dep...

Depth at homogeneous or weakly-textured image areas is difficult to obtain because such image areas suffer the well-known correspondence problem. In this paper, we propose a voting model that predicts the depth at such image areas from the depth of bounding edge-like structures. The depth at edge-like structures is computed using a feature-based stereo algorithm, and is used to vote for the dep...

The DDα-procedure is a fast nonparametric method for supervised classification of d-dimensional objects into q ≥ 2 classes. It is based on q-dimensional depth plots and the α-procedure, which is an efficient algorithm for discrimination in the depth space [0, 1] . Specifically, we use two depth functions that are well computable in high dimensions, the zonoid depth and the random Tukey depth, a...

In this paper we present a new calibration approach for focused plenoptic cameras. We derive a new mathematical projection model of a focused plenoptic camera which considers lateral as well as depth distortion. Therefore, we derive a new depth distortion model directly from the theory of depth estimation in a focused plenoptic camera. In total the model consists of five intrinsic parameters, t...