基于虚拟现实的3D演出场馆漫游系统的设计与实现

利用3DS Max三维模型软件进行建模,以虚拟现实引擎Virtools为平台进行3D虚拟演出场馆的漫游设计,重点介绍3D建模和Virtools交互功能的实现,通过虚拟角色漫游和摄像机自主路径漫游两种方式在虚拟场馆中漫游,使用户在虚拟世界中即可一览演出场馆的风貌。     

基于虚拟现实的3D演出场馆漫游系统的设计与实现

利用3DS Max三维模型软件进行建模,以虚拟现实引擎Virtools为平台进行3D虚拟演出场馆的漫游设计,重点介绍3D建模和Virtools交互功能的实现,通过虚拟角色漫游和摄像机自主路径漫游两种方式在虚拟场馆中漫游,使用户在虚拟世界中即可一览演出场馆的风貌。     

Web3D引擎中三维图形对象拾取的算法与实现

应用Web3D引擎开发的计算机仿真系统和虚拟现实系统均需在Web浏览器上运行,需要其能快速下载和运行,因而要求尽可能提高Web3D引擎包括拾取功能在内的计算效率.在算法上提出了射线的分层次求交,先采用包围盒算法来实现对选择对象的快速拾取；为优化拾取的精度,再用三角形算法来实现准确拾取.在提出算法的基础上,用JAVA语言...     

基于OGRE 3D的静态虚拟室内场景的实现

如今虚拟现实技术发展迅速,3D已经成为了人们生活的一部分,在我国,OGRE这个3D引擎在游戏中已经有所应用,但用在三维仿真中则极少;本文就3D技术中基于OGRE这个3D引擎的场景管理技巧进行了探讨,主要讨论了虚拟室内场景的分层管理以及摄像机多角度转动所引起的画面水平方向失衡的解决办法,给出了空间分层的场景管理方法。     

基于Unity3D的仓储可视化管理系统

虚拟现实技术是当今计算机领域的一个研究热点,将虚拟现实技术应用到仓储管理上是现代仓储发展趋势.结合现代仓储理论,以Unity3D引擎为基础,提出仓储可视化管理系统的实现方法.该管理系统是以B/S架构部署在仓储中心的服务器上,客户通过浏览器访问和控制三维仓储中心.将各类商品模型导入Unity3D引擎,通过功能脚本实现漫游、定位、商品出入库等功能.通过WebService接口,可以实现门禁、监控、动环等信息的实时控制.实践表明,该系统可以极大的节约仓储管理成本,提高仓储效率.     

基于OGRE的煤矿安全虚拟现实3D软件设计与实现

随着煤矿安全的数字化管理,基于3D技术的煤矿系统虚拟现实成为煤矿安全中进行安全培训的重要技术手段。本文以OGRE引擎为软件开发环境设计煤矿安全虚拟现实3D软件,阐述OGRE的软件结构、煤矿安全虚拟现实3D软件的构成、3D模型的建模方法和实现方式,设计具有运动功能的3D模型的操作和控制方法。对煤矿安全管理和数字化煤矿的建设具有现实意义。     

基于Visual C#.NET与3DSTATE实现虚拟现实

虚拟现实技术在军事、航空航天、数字博物馆、虚拟人等领域得到了广泛的应用。但是,由于虚拟现实技术本身的复杂性,使得实现虚拟现实一直以来都是一项较为困难的工作。3DSTATE引擎是一种较新的虚拟现实开发工具,能快速和简便的实现基本的虚拟现实功能,在介绍3DSTATE引擎及3DWoddBuilder的基础上,着重讨论了Visual C#．NET与3DSTATE引擎相结合实现虚拟现实的方法和步骤。     

基于摄像机标定技术设计的3D输入设备

介绍一种基于摄像机标定技术的3D输入设备的原理,采用微软研究院的张正友提出基于移动平面模板的摄像机标定方法,分析计算机视觉函数库OpenCV中的摄像机模型;对比棋盘上的角点和其图像的对应点,利用直接线性变换以及最小二乘法来求解摄像机的内参、畸形系数;通过摄像机实时采集不同位姿的棋盘图片,运用空间解析几何,计算出棋盘的位姿.实验结果表明,把棋盘的位姿转化成3D信号输入,可用于虚拟现实系统的3D交互设备,并具有良好的稳定性和准确性,可满足3D输入设备的需求.     

嵌入式图形系统的跨平台、多引擎实现技术

为了实现嵌入式图形系统的跨平台和多引擎,提出了一种层次结构设计思想.在设备驱动层中使用了设备对象概念,屏蔽了驱动的具体实现,从而实现了跨平台.在引擎层中建立了一个引擎抽象层,将每种引擎提供的服务抽象成统一的引擎接口供上层调用,从而实现了一种具有2D、半透明和3D绘图效果的嵌入式图形系统.     

虚拟现实技术在图书馆座位预约系统中的应用

结合西北民族大学图书馆实际情况,介绍虚拟现实技术在图书馆座位预约系统中的应用.该系统以Uni-ty3D游戏引擎为开发平台,利用3DS Max软件制作系统所需模型和场景,采用C#和JS脚本实现业务逻辑,实现了可以以第一人称视角进行场景漫游以及座位预约等功能.     

Morfit Web-3D仿真建模技术及其应用

该文是一个综述性的应用报告,主要介绍了Morfit Web-3D引擎的功能以及使用它进行环境仿真建模时的作用。Morfit Web-3D引擎集成了当前许多先进的算法和技术进步的成果,采用的是基于图象的3D建模方法。它使得利用数码相机拍摄的图片可以方便地结合到虚拟场景之中,克服了虚拟现实建模过程中构造场景细节时的大量细致和耗费人力的工作。与其它虚拟现实技术相比较在建模的速度上有一定优势。该文详细阐述了Morfit场景的主要构成对象、影响场景中物体显示效果的因数、控制动态物体在场景中运动的方法及创建Morfit Web3D场景的主要步骤。最后通过一个具体实例展示了它的实际应用效果及相关程序设计方法和流程。     

Intuitive robot teleoperation for civil engineering operations with virtual reality and deep learning scene reconstruction

Robotic teleoperation, i.e., manipulating remote robotic systems at a distance, has gained its popularity in various industrial applications, including construction operations. The key to a successful teleoperation robot system is the delicate design of the human-robot interface that helps strengthen the human operator’s situational awareness. Traditional human-robot interface for robotic teleoperation is usually based on imagery data (e.g., video streaming), causing the limited field of view (FOV) and increased cognitive burden for processing additional spatial information. As a result, 3D scene reconstruction methods based on point cloud models captured by scanning technologies (e.g., depth camera and LiDAR) have been explored to provide immersive and intuitive feedback to the human operator. Despite the added benefits of applying reconstructed 3D scenes in telerobotic systems, challenges still present. Most 3D reconstruction methods utilize raw point cloud data due to the difficulty of real-time model rendering. The significant size of point cloud data makes the processing and transfer between robots and human operators difficult and slow. In addition, most reconstructed point cloud models do not contain physical properties such as weight and colliders. A more enriched control mechanism based on physics engine simulations is impossible. This paper presents an intelligent robot teleoperation interface that collects, processes, transfers, and reconstructs the immersive scene model of the workspace in Virtual Reality (VR) and enables intuitive robot controls accordingly. The proposed system, Telerobotic Operation based on Auto-reconstructed Remote Scene (TOARS), utilizes a deep learning algorithm to automatically detect objects in the captured scene, along with their physical properties, based on the point cloud data. The processed information is then transferred to the game engine where rendered virtual objects replace the original point cloud models in the VR environment. TOARS is expected to significantly improve the efficiency of 3D scene reconstruction and situational awareness of human operators in robotic teleoperation.     

PC上虚拟现实仿真的实现

使用目前先进的ＶＲＭＬ语言进行三维构型,并分别利用ＶｒｍｌＳｃｒｉｐｔ,ＪａｖａＳｃｒｉｐｔ或Ｊａｖａ语言设计仿真器,然后在三维环境下实时驱动对象运动,实现了在普通ＰＣ上的虚拟现实仿真。在不对计算机硬件增加额外要求的情况下,达到了虚拟现实仿真的基本要求,对上述难题给出了一种解决框架,用一个Ｍ／Ｍ／１／Ｋ排队模型进行了实例分析,并对今后的研究进行了探讨。     

GMS卫星红外云图数据压缩

介绍一种模拟仿真类实时三维图形应用开发工具ＲＧＢＧａｍｅＢｕｉｌｄｅｒ的设计,它的组成和应用结构、帝时引擎和使用的主要三维图形处理技术。     

Augmented reality camera tracking with homographies

To realistically integrate 3D graphics into an unprepared environment, camera position must be estimated by tracking natural image features. We apply our technique to cases where feature positions in adjacent frames of an image sequence are related by a homography, or projective transformation. We describe this transformation's computation and demonstrate several applications. First, we use an augmented notice board to explain how a homography, between two images of a planar scene, completely determines the relative camera positions. Second, we show that the homography can also recover pure camera rotations, and we use this to develop an outdoor AR tracking system. Third, we use the system to measure head rotation and form a simple low-cost virtual reality (VR) tracking solution.     

Visual creation of inhabited 3D environments

The creation of virtual reality applications and 3D environments is a complex task that requires good programming skills and expertise in computer graphics and many other disciplines. The complexity increases when we want to include complex entities such as virtual characters and animate them. In this paper we present a system that assists in the tasks of setting up a 3D scene and configuring several parameters affecting the behavior of virtual entities like objects and autonomous virtual humans. Our application is based on a visual programming paradigm, supported by a semantic representation, an ontology for virtual environments. The ontology allows us to store and organize the components of a 3D scene, together with the knowledge associated with them. It is also used to expose functionalities in the given 3D engine. Based on a formal representation of its components, the proposed architecture provides a scalable VR system. Using this system, non-experts can set up interactive scenarios with minimum effort; no programming skills or advanced knowledge is required.     

Accurate sensing of scene geo-context via mobile visual localization

Image geo-tagging has drawn a great deal of attention in recent years. The geographic information associated with images can be used to promote potential applications such as location recognition or virtual navigation. In this paper, we propose a novel approach for accurate mobile image geo-tagging in urban areas. The approach is able to provide a comprehensive set of geo-context information based on the current image, including the real location of the camera and the viewing angle, as well as the location of the captured scene. Moreover, the parsed building facades and their geometric structures can also be estimated. First, for the image to be geo-tagged, we perform partial duplicate image retrieval to filter crowd-sourced images capturing the same scene. We then employ the structure-from-motion technique to reconstruct a sparse 3D point cloud of the scene. Meanwhile, the geometric structure of the query image is analyzed to extract building facades. Finally, by combining the reconstructed 3D scene model and the extracted structure information, we can register the camera location and viewing direction to a real-world map. The captured building location and facade orientation are also aligned. The effectiveness of the proposed system is demonstrated by experiment results.     

Seamless Video Stitching from Hand‐held Camera Inputs

Images/videos captured by portable devices (e.g., cellphones, DV cameras) often have limited fields of view. Image stitching, also referred to as mosaics or panorama, can produce a wide angle image by compositing several photographs together. Although various methods have been developed for image stitching in recent years, few works address the video stitching problem. In this paper, we present the first system to stitch videos captured by hand‐held cameras. We first recover the 3D camera paths and a sparse set of 3D scene points using CoSLAM system, and densely reconstruct the 3D scene in the overlapping regions. Then, we generate a smooth virtual camera path, which stays in the middle of the original paths. Finally, the stitched video is synthesized along the virtual path as if it was taken from this new trajectory. The warping required for the stitching is obtained by optimizing over both temporal stability and alignment quality, while leveraging on 3D information at our disposal. The experiments show that our method can produce high quality stitching results for various challenging scenarios.     

基于X3D的三维用户界面组态引擎设计

传统组态软件二维用户界面仿真度低,不能直观反映工业现场生产情况,针对该问题设计并实现了基于X3D的组态软件三维用户界面组态引擎.介绍了三维用户界面组态引擎的系统架构以及使用该引擎进行场景组态时的流程;基于X3D建立了三维场景对象库,并建立对象之间的关联作为场景组态的约束关系,利用其加快场景组态过程;使用XJ3D图形工具包实现了该引擎的原型系统.实验证明该引擎组态简便,使用其组态生成的三维用户界面具有较好的仿真效果.     

交互式自行车模拟器视景仿真系统开发

视景仿真系统是交互式自行车模拟器的重要组成部分。其给骑车者提供逼真的虚拟三维漫游场景。开发的视景仿真系统硬件上采用PowerWall虚拟现实系统，软件上基于自主开发的虚拟现实通用应用开发平台VR Flier，提高了开发的效率。VR Flier采用面向对象方法设计，能够全面地支持小同领域和不同规模的VR应用开发。视景仿真系统通过优化以及动态调度三维场景模型的方法提高了大范围漫游场景的渲染帧率；并对场景路面坡度及视景转向信号进行平滑处理，获得很好的视景仿真效果。