基于人眼鼻孔特征的眼动跟踪方法

提出了一种基于人眼鼻孔特征跟踪眼动的算法。首先利用Adaboost的层叠式分类器定位人脸、眼睛和鼻子;然后采用梯度Hough变换检测圆的方法精确定位瞳孔虹膜;最后利用几何方法建立椭圆跟踪模型,实现瞳孔的快速跟踪。实验结果表明,该方法定位眼睛嘴角快速准确,同时对眼睛的跟踪具有较好的鲁棒性和实时性。     

工程配置的版本分类及产品版本追踪模型

工程配置的进化过程分为配置释放前、释放后和交付三个阶段,处于不同阶段的工程配置通常用不同的库来管理,提出了按工程配置的进化阶段将各库中配置的版本分为设计版本、在线版本和产品版本的版本分类法;探讨了基于该版本分类法的版本管理方法,其中对产品版本的管理作了重点讨论,提出了适应工程管理和技术人员不同需要的版本追踪模型。     

一种实体纹理的设计方法和实现

一个实用的实体纹理系统不仅应用有清晰的模型,还要求纹理的效果丰富,易于扩展和实现,本文在分析实体纹理的概念和计算原理的基础上,给出了一种将实体纹理分三步实现的方案,然后纹理参数进行了分类,给出了一个纹理数据结构的组织方法,最后讨论了这种方案的实际应用。     

计算流动显示——概念,原理及实现

计算流动显示是近年来在流体领域出现的一个新的研究方向,是计算流体力学、实验流体力学和科学计算可视化等领域的结合。本文介绍了其概念和原理,描述了一种简单高效的基于光线投射方法的光线跟踪方法,用于构造计算流场的干涉图、阴影图和纹影图,并给出了计算与实验结果的比较。     

Inchworm robot grippers for clothes manipulation

Manipulating deformable objects like clothes, plastic, and paper by a robot is very challenging. This paper focuses on clothes manipulation as an example. A tracing manipulation method is used here to find a corner of the clothes. In this paper, tracing refers to tracing the clothes’ edge, with the robot’s movement based on feedback from sensors. One difficulty during this edge tracing is to make the robot trace smoothly and speedily without dropping the clothes in the process. This is due to the fact that deformable objects are sensitive to contact forces. A solution to this problem is to design a special robot gripper that can trace the clothes without having to worry about the clothes slipping away. In this paper, the development of inchworm-type grippers is proposed. Two sets of grippers inside a robot hand will allow the robot to trace the clothes more freely because there will always be a gripper firmly holding the clothes at any time. A unique tracing method for towel spreading using the inchworm grippers is also discussed. Experimental results have demonstrated the effectiveness of both the proposed grippers and also the algorithm. This work was presented in part at the 12th International Symposium on Artificial Life and Robotics, Oita, Japan, January 25–27, 2007     

Traceable P2P record exchange: a database-oriented approach

In recent years, peer-to-peer (P2P) technologies are used for flexible and scalable information exchange in the Internet, but there exist problems to be solved for reliable information exchange. It is important to trace how data circulates between peers and how data modifications are performed during the circulation before reaching the destination for enhancing the reliability of exchanged information. However, such lineage tracing is not easy in current P2P networks, since data replications and modifications are performed independently by autonomous peers—this creates a lack of reliability among the records exchanged. In this paper, we propose a framework for traceable record exchange in a P2P network. By managing historical information in distributed peers, we make the modification and exchange histories of records traceable. One of the features of our work is that the database technologies are utilized for realizing the framework. Histories are maintained in a relational database in each peer, and tracing queries are written in the datalog query language and executed in a P2P network by cooperating peers. This paper describes the concept of the framework and overviews the approach to query processing.     

基于光线跟踪的数字影像重建技术

本文讨论了CT模拟中的数字图像重建技术,提出了基于光线跟踪的处理方法,并对分辨率、CT值转换和增强技术进行了探讨,给出了在治疗计划系统中的实现。     

基于并行调度的真实感图快速绘制的研究与实现

三维工厂模型真实感图是工厂设计、施工中非常重要的资料之一,通过检查三维工厂真实感模型,设计人员可以及早、快速、直观发现三维工厂设计中的错误,提高设计单位图纸的设计质量,有效地指导施工单位进行正确的安装施工,提高施工质量和效率,为了加速真实感图的绘制,首先实现基于网络环境的并行调度平台,并利用该平台,实现一个并行光线跟踪算法,该算法已经被集成到了一个商品化软件-PDSOFTPiping(三维工厂配管软件）O中,取得了令人满意的效果,并对其中的两个关键技术-并行调度,并行光线跟踪算法进行了介绍,并给出了结果以及结果比较数据。     

一种面向并行实现的全局光照算法

提出了种适合于并行实现的全局光照算法。对真实感图象的实时生成和交互式性运行进行了有益的探索,算法主要由两个模块组成;粒子跟踪过程,网格优化与密度估计过程,在此进行了详细介绍。另外,给出算法实际运行得到的具有高度真实感的生成图象。     

一种排样图像轮廓线生成方法

针对传统基于聚合的多边形拟合法对皮革图像边缘毛刺敏感和对所围面积无法控制的问题,提出了一种排样图像的轮廓线生成方法。该方法通过将距离误差由绝对值改为带符号值,并对非利用面积误差施加约束,使获得的排样轮廓线既抑制了毛刺的干扰,又是真实轮廓线的最大内接多边形,皮料面积得到了充分利用。实例计算和应用结果表明了本文方法的有效性和科学合理性,且对其他工业排样问题也具有一定的参考价值。