This paper deals with the construction of high-order ADER numerical schemes for solving the one-dimensional shallow water equations with variable bed elevation. The non-linear version of the schemes is based on ENO reconstructions. The governing equations are expressed in terms of total water height, instead of total water depth, and discharge. The ENO polynomial interpolation procedure is also...

in recent years, synthetic aperture radar (sar) images have played an important role in the detection and monitoring of ground targets because of their advantages such as independence from climatic conditions and sensitivity to the target geometry. the complexity of sar imaging sensors, especially in the conversion process from raw data to image, has made it difficult to interpret the behavior ...

Background: This study describes the possibility of implementing three-dimensional printing technology to create a precise construction of a planned bolus, based on computed tomography information stored in the Digital Imaging and Communications in Medicine (DICOM) format file. Materials and Methods:  To create the bolus with a 3D printer, we converted data in the DICOM format to the s...

BACKGROUND/OBJECTIVE Judgement of nasolabial aesthetics in cleft lip and palate (CLP) is a vital component of assessment of treatment outcome. It is usually performed based on two-dimensional (2D) facial photographs. An increasing use of three-dimensional (3D) imaging warrants an assessment if 3D images can substitute 2D photographs during aesthetic evaluation. The aim of this study was to comp...

Reconstruction of scene geometry and semantics are important problems in vision, and increasingly brought together. The state of the art in Structure from Motion and Multi View Stereo (SfM+MVS) can already create accurate, dense reconstructions of scenes. Systems such as CMPMVS [2] are freely available and produce impressive results automatically. However, when assumptions break down or there i...

We study the problem of shape reconstruction from stereo images based on a weighted area minimization process of a depth function. As a simple example we present an eecient shape reconstruction from computer generated autostereograms. A minimal surface area based correlation is applied to accurately reconstruct the surface structure embedded rst in one autostereogram image, and next in two or m...

Contemporary benchmark methods for image inpainting are based on deep generative models and specifically leverage adversarial loss for yielding realistic reconstructions. However, these models cannot be directly applied on image/video sequences because of an intrinsic drawbackthe reconstructions might be independently realistic, but, when visualized as a sequence, often lacks fidelity to the or...

We present a novel method for creating high-resolution 3D reconstructions using RGB-D cameras, such as the Microsoft Kinect. We demonstrate how such a technique can be used both for large scale mapping and high-resolution object detection. Our work consists of two core contributions. First, we present an algorithm to generate 3D reconstructions of arbitrary resolution, up to that of the limitat...