941 resultados para Enunciation scene


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This paper describes an interactive system for quickly modelling 3D body shapes from a single image. It provides the user with a convenient way to obtain their 3D body shapes so as to try on virtual garments online. For the ease of use, we first introduce a novel interface for users to conveniently extract anthropometric measurements from a single photo, while using readily available scene cues for automatic image rectification. Then, we propose a unified probabilistic framework using Gaussian processes, which predict the body parameters from input measurements while correcting the aspect ratio ambiguity resulting from photo rectification. Extensive experiments and user studies have supported the efficacy of our system. This system is now being exploited commercially online1. © 2011. The copyright of this document resides with its authors.

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Co-CreativePen Toolkit is a pen-based 3D toolkit for children cooperatly designing virtual environment. This toolkit is used to construct different applications involved with distributedpen-based 3D interaction. In this toolkit,sketch method is encapsulated as kinds of interaction techniques. Children can use pen to construct 3D and IBR objects, to navigate in the virtual world, to select and manipulate virtual objects, and to communicate with other children. Children can use pen to select other children in the virtual world, and use pen to write message to children selected The distributed architecture of Co-CreativePen Toolkit is based on the CORBA. A common scene graph is managed in the server with several copies of this graph are managed in every client.Every changes of the scene graph in client will cause the change in the server and other client.

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单摄像头条件下,基于桌面TUI,划分出4类具有不同场景语义的用户界面操作实物;分析实物用户界面中执行通用交互任务的特点,建立支持4类语义的3层系统设计框架;结合场景规划系统自身特征,设计了4类承载上述场景语义的标记,并提出标记任务分配策略;为解决大场景与小视域之间的矛盾,结合paddle技术,提出动态比例空间、动态成组、双手交互和遮挡处理等交互技术;借鉴认知心理学原理,提出时空复用交互技术;开发基于TUI的交互工具箱,并进行了应用验证.

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借鉴真实世界的认知心理学原理,将虚拟场景的可视表达和语义信息结合起来共同服务于用户的交互过程,多种3D交互技术被融合在一个统一的交互框架内,使复杂虚拟环境中的3D用户界面更容易被用户理解和使用.通过增强场景图的语义处理能力,建立支持高层语义的3D用户界面体系结构,3D交互系统不仅在几何层上而且还能在语义层上支持交互任务的执行.最后介绍了一个应用实例.

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黄土高原地形三维虚拟是"数字黄土高原"的基础,可为区域水土保持生态建设提供科技支撑。针对直接在地理信息系统软件中观察三维场景存在的控制交互能力不足问题,提出综合利用地理信息系统软件的地形插值算法,基于MFC框架下的OpenGL程序设计的思路,实现地形的真实感三维虚拟。以黄土丘陵沟壑区康家沟小流域为例,等高线数据在AutoCAD和ArcView软件中处理,生成ASCII格式的规则网格DEM数据,依据它们绘制三角形带,采用加权平均法求得各点的法向量,设置光照与材质模式,添加动态天空背景,实现了该流域地形的真实感三维虚拟,并增加交互能力,完成自由漫游与多角度观察。

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A simple and environment friendly chemical route for detecting latent fingermarks by one-step single-metal nanoparticles deposition method (SND) was achieved successfully on several non-porous items. Gold nanoparticles (AuNPs) synthesized using sodium borohydride as reducing agent in the presence of glucose, were used as working solution for latent fingermarks detection. The SND technique just needs one step to obtain clear ridge details in a wide pH range (2.5-5.0), whereas the standard multi-metal deposition (MMD) technique requires six baths in a narrow pH range (2.5-2.8). The SND is very convenient to detect latent fingermarks in forensic scene or laboratory for forensic operators. The SND technique provided sharp and clear development of latent fingermarks, without background staining, dramatically diminished the bath steps.

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月球探测对于我国有着长远的战略意义,移动机器人将在我国“二”期月球探测计划中发挥举足轻重的作用。因为月面环境恶劣、机器人自主性有限,所以基于虚拟现实的遥操作技术将在月球探测任务中发挥重要作用。它给操作者提供一种三维的、逼真的和可交互的机器人仿真平台。在此平台上,操作者可以借助科学家的智能来解决月球探测机器人自主和遥操作的结合问题,可以验证路径规划、机械臂运动规划及控制指令等。 本文分析了月球探测机器人和真实三维地形几何拓扑信息的交互过程,借助基于虚拟现实的遥操作技术,开发了基于真实地形场景的移动机器人运动仿真平台。在此平台上,运动仿真反应了机器人真实的运动状态。 首先通过对真实地形三维点云的三角剖分和纹理影射,我们得到了真实三维地形场景。然后借助OpenGL软件库和Solidworks软件我们对月球探测机器人进行了精确的几何建模。 本文在分析国内外星球探测机器人仿真系统基础上,提出了一种轮式移动机器人轮子与地形几何拓扑信息交互的方法,此方法解释了地形变化如何影响到机器人姿态的变化。通过在虚拟地形上实验和分析机器人状态数据,证明了此方法的合理性。 本文还推导了六轮移动机器人的运动学模型,确定了机器人车体位姿及其变化与轮子接地点位姿及其变化之间的关系,为机器人如何调整姿态以适应变化的三维崎岖地形提供了理论基础。并利用速度投影法,得到了轮式移动机器人运动学模型新的形式。 最后结合运动学模型和几何模型,我们在Windows平台上利用VC++OpenGL 开发了基于真实地形场景的星球探测机器仿真系统,实现了月球探测机器人的实时仿真。该系统具有较强的交互性和实时性,为星球探测机器人虚拟导航、路径验证、遥操作等提供了验证平台。

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Rainbow三维摄像机是一种基于光谱分析的快速三维信息获取方法。该方法利用连续变化的彩色光谱照射景物 ,彩色CCD摄像机摄取的景物图像将呈现有规律的颜色变化 ,而且不同的颜色 (波长 )构成了不同的空间颜色面。通过标定这些颜色面和摄像机成象模型 ,即可计算出图像中各点的三维坐标。

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Rainbow 三维摄像机是一种基于光谱分析的快速三维信息获取方法。该方法利用连续变化的彩色光谱照射景物,彩色CCD 摄像机摄取的景物图象将呈现有规律的颜色变化,而且不同的颜色(波长)构成了不同的空间颜色面。通过标定这些颜色面和摄像机成象模型,即可计算出图象中各点的三维坐标。该文重点讨论实现该方法的标定技术和颜色分类技术,最后给出实验结果。

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采用模糊熵函数对图象象素分类作出整体最优分类评价,实现了区域分割.利用矩及其函数做为各区域的特征表达,构成以区域为基元的符号特征集并描述图象内容。根据立体图象对间的几何关系,解出各区域(基元)的相对三维坐标。与象索匹配相比较,它可以获得较高精度的三维信息和可描述的景物信息.通过获取不同时空的各区域(基元)三维信息,确定了它们的空间运动状态。联系这些状态,构造出景物中物体间的空间关系和近似模型,实现了对景物的3-D识别和描述。

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从二维图像恢复物体的三维结构是计算视觉的一个重要研究方向。通过研究三视图之间的对极几何,提出了一种基于三线性关系的度量重建方法。不需要对相机的运动或者景物结构施加任何约束,使用直接重建方法,利用三焦点张量恢复场景的度量重构。仿真实验和真实图像实验表明,该度量重建方法具有很高的准确性和实用性。

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P-J Fit and P-O Fit are focus problems in the investigation field of industry and organization psychology. They have distinct influences on staff job performance and job attitude. In a certain extend,these influences are moderated by some variables. LMX(Leader-member Exchange) and TMX(Team-member exchange) are two most important personal relationship types in job scene. Post investigations indicated that they are equal to forecasting variables and moderating variables of staff job performance and job attitude. From actualities, although there are many investigations about the relationships between P-J Fit, P-O Fit, LMX, TMX and job attitude, these investigations only focused on some aspects, and they discussed little about four aspects at one time and mutual influences. Using hierarchical regression analysis to analyze the survey data collected from 592 employees in a big governmental telecom company, we got some results as follows: (1)After controlling demography variables, standardized regression coefficients on P-J Fit, P-O Fit, LMX, TMX and job satisfaction, organization commitment are all positive, and reach distinct levels. (2) LMX could distinctly moderate the influences of P-J Fit, P-O Fit on job satisfaction, but couldn’t distinctly moderate the influences of the two on organization commitment. Specifically, as LMX increased,the effect of P-J on job satisfaction decreased gradually,while the effect of P-O increased. (3) TMX could not distinctly moderate the relationships between P-J Fit, P-O Fit, job satisfaction and organization commitment. The theoretical implication of this investigation lies in enriching and developing investigations in these fields in a certain extend, through conforming the influences of P-J Fit, P-O Fit, LMX, and TMX on job satisfaction and organization commitment. The practical implication lies in revealing these aspects for corporation governors: When selecting applications for a job, they should try their best to realize the best fit of personal ability and the job requirements, personal value and organization culture. They should enhance staff job satisfaction and organization commitment through furthering the relationship between the leader and members, team members each other. They should cushion disadvantage influences of non-P-J Fit on staff job satisfaction and enhance positive influences of P-O Fit. 【Key words】 person-job fit; person-organization fit; leader-member exchange; team member exchange; job attitude

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Shape recognition is among the basic skills to live in the complex environment. There are already a series of studies found interesting mental phenomena in shape recognition, such as mental rotation, which was also found in scene recognition and suggested that there would be common mechanisms in these two recognition processes. Recently, Mou and his colleagues (2008) found that scene recognition was not only viewpoint dependent but also intrinsic-orientation dependent. In our study, we applied their part recognition paradigm to shape recognition and investigated whether there was intrinsic orientation effect in shape recognition, and furthermore, we investigated the selection of the intrinsic axis in shape recognition. The results showed that a test shape divided from the learning direction and thus containing intrinsic axis was easier to recognize, relative to the test shape which was not divided from the learning direction. The results also showed that a test shape presented from the viewing direction was easier to recognize than from other direction. Furthermore, after we added an oblique rectangular background to the learning shape, the results showed that participants chose the prolate axis of the rectangular background as their learning direction and thus the direction of the intrinsic axis. This result suggested that the direction of the intrinsic axis can be separated from the viewing direction, and background can play a decisive role in the selection of intrinsic axis.