基于边缘PUnet网络的虚拟视图空洞修复

基于深度图的绘制(DIBR)是虚拟视点合成的关键技术,但其生成的虚拟视图存在大面积连续的空洞.传统的图像修复算法修复后的空洞缺乏语义感,现有的部分卷积神经网络修复后的空洞边缘失真,因此本文提出基于边缘信息的部分卷积神经网络修复算法.首先本文利用视差移位来生成虚拟视图,并对虚拟视图进行赋值和膨胀预处理操作,以消除裂缝和伪...     

一个无线定位应用开发框架

目前无线定位应用程序存在结构不统一、无法兼容多种定位设备的问题。应用开发框架对应用程序中的共性部分进行抽象;可以提高软件复用;缩短开发周期。设计了一个无线定位应用开发框架;支持多种定位设备数据的融合;实现了业务逻辑与底层定位平台的隔离;标准化了无线定位应用程序的体系结构。同时;给出了该框架的一个应用实例;介绍了其中的关键技术;验证了该框架的有效性和实用性。     

笔触风格化技术研究综述

笔触风格化技术是图像艺术风格化最为经典和重要的研究方向,产生了众多的研究成果,也引起了越来越多研究人员的兴趣。总结了基于笔触图像风格化技术的研究现状,分析了笔触风格化系统的基本构成和各种不同类型算法的特点,指出了目前笔触风格化方法的缺点,揭示了图像风格化技术的发展趋势,为进一步研究和探索图像风格化提供了方向。     

一种基于OGRE图形引擎的实时分布式渲染系统

虚拟现实的实时交互得到了越来越广泛地应用,实时分布式渲染有效地解决了普通PC机渲染的时间瓶颈问题,提高了系统实时渲染性能和输出分辨率。在对分布式渲染原理研究分析的基础上,依据设计模式的思想,设计了一种基于Sort-First结构的实时分布式渲染框架和同步机制,并在实践中应用OGRE图形引擎实现了该系统。     

Approximate Program Smoothing Using Mean‐Variance Statistics,with Application to Procedural Shader Bandlimiting

We introduce a general method to approximate the convolution of a program with a Gaussian kernel. This results in the program being smoothed. Our compiler framework models intermediate values in the program as random variables, by using mean and variance statistics. We decompose the input program into atomic parts and relate the statistics of the different parts of the smoothed program. We give several approximate smoothing rules that can be used for the parts of the program. These include an improved variant of Dorn et al. [ DBLW15 ], a novel adaptive Gaussian approximation, Monte Carlo sampling, and compactly supported kernels. Our adaptive Gaussian approximation handles multivariate Gaussian distributed inputs, gives exact results for a larger class of programs than previous work, and is accurate to the second order in the standard deviation of the kernel for programs with certain analytic properties. Because each expression in the program can have multiple approximation choices, we use a genetic search to automatically select the best approximations. We apply this framework to the problem of automatically bandlimiting procedural shader programs. We evaluate our method on a variety of geometries and complex shaders, including shaders with parallax mapping, animation, and spatially varying statistics. The resulting smoothed shader programs outperform previous approaches both numerically and aesthetically.     

State-of-the-art in Large-Scale Volume Visualization Beyond Structured Data

Volume data these days is usually massive in terms of its topology, multiple fields, or temporal component. With the gap between compute and memory performance widening, the memory subsystem becomes the primary bottleneck for scientific volume visualization. Simple, structured, regular representations are often infeasible because the buses and interconnects involved need to accommodate the data required for interactive rendering. In this state-of-the-art report, we review works focusing on large-scale volume rendering beyond those typical structured and regular grid representations. We focus primarily on hierarchical and adaptive mesh refinement representations, unstructured meshes, and compressed representations that gained recent popularity. We review works that approach this kind of data using strategies such as out-of-core rendering, massive parallelism, and other strategies to cope with the sheer size of the ever-increasing volume of data produced by today's supercomputers and acquisition devices. We emphasize the data management side of large-scale volume rendering systems and also include a review of tools that support the various volume data types discussed.     

基于OGRE和ODE的碰撞检测在巷道漫游系统中的研究

为了提高交互漫游系统中动态人物与静态场景对象之间的碰撞检测性能,提出了将动态人物采用包围盒的方法,与地面、巷道等静态物体采用三角网格面的方法相结合的思想,并将其应用于OGRE和ODE环境的巷道漫游系统中。结果表明,此方法提升了碰撞检测性能,满足了虚拟现实中实时性的要求。