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基于VOXEL-MAN虚拟人体开发平台实现经络三维表达
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作者 刘红菊 赵静 +1 位作者 严振国 庄天戈 《上海中医药大学学报》 CAS 2009年第2期51-54,共4页
利用VOXEL-MAN开发平台,在可视人体上采用管状模型建模的方法得到经络的控制点集合,并在重要控制点处放置球体模型,通过适当的插值和成熟的计算机图形技术实现基于三角面片的面绘制,配合光照模型、阴影处理,建立光滑的管状经络模型,实... 利用VOXEL-MAN开发平台,在可视人体上采用管状模型建模的方法得到经络的控制点集合,并在重要控制点处放置球体模型,通过适当的插值和成熟的计算机图形技术实现基于三角面片的面绘制,配合光照模型、阴影处理,建立光滑的管状经络模型,实现经络的三维表达。 展开更多
关键词 VOXEL—MAN开发平台 经络三维 控制点 面绘制 管状模型
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三维虚拟经络人模型的构建和制作研究 被引量:8
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作者 李君笙 徐平 《河南中医学院学报》 2006年第3期28-29,共2页
经络理论由于具有抽象性和复杂性的特点。我们利用Poser、3DSMAX、Cult3D等相关技术,依据古代记载和现代经络研究成果,建立起一种包含人体脏腑器官、腧穴以及经络循行路线、并能够进行动画显示的三维虚拟经络人模型。为经络的临床、教... 经络理论由于具有抽象性和复杂性的特点。我们利用Poser、3DSMAX、Cult3D等相关技术,依据古代记载和现代经络研究成果,建立起一种包含人体脏腑器官、腧穴以及经络循行路线、并能够进行动画显示的三维虚拟经络人模型。为经络的临床、教学以及基础研究提供一种直观的、有利于全面观察和综合分析的有力工具。 展开更多
关键词 三维虚拟经络人模型 三维技术 软件
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3-D visual tracking based on CMAC neural network and Kalman filter 被引量:3
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作者 王化明 罗翔 朱剑英 《Journal of Southeast University(English Edition)》 EI CAS 2003年第1期58-63,共6页
In this paper, the Kalman filter is used to predict image feature positionaround which an image-processing window is then established to diminish feature-searching area andto heighten the image-processing speed. Accor... In this paper, the Kalman filter is used to predict image feature positionaround which an image-processing window is then established to diminish feature-searching area andto heighten the image-processing speed. According to the fundamentals of image-based visual servoing(IBVS), the cerebellar model articulation controller (CMAC) neural network is inserted into thevisual servo control loop to implement the nonlinear mapping from the error signal in the imagespace to the control signal in the input space instead of the iterative adjustment and complicatedinverse solution of the image Jacobian. Simulation results show that the feature point can bepredicted efficiently using the Kalman filter and on-line supervised learning can be realized usingCMAC neural network; end-effector can track the target object very well. 展开更多
关键词 visual tracking CMAC neural network Kalman filter
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Multimodality image registration and fusion using neural network
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作者 Mostafa G Mostafa Aly A Farag Edward Essock 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2003年第3期235-240,共6页
Multimodality image registration and fusion are essential steps in building 3-D models from remotesensing data. We present in this paper a neural network technique for the registration and fusion of multimodali-ty rem... Multimodality image registration and fusion are essential steps in building 3-D models from remotesensing data. We present in this paper a neural network technique for the registration and fusion of multimodali-ty remote sensing data for the reconstruction of 3-D models of terrain regions. A FeedForward neural network isused to fuse the intensity data sets with the spatial data set after learning its geometry. Results on real data arepresented. Human performance evaluation is assessed on several perceptual tests in order to evaluate the fusionresults. 展开更多
关键词 data fusion image registration image interpolation neural network 3-D model building
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3D Ice Shape Description Method Based on BLSOM Neural Network
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作者 ZHU Bailiu ZUO Chenglin 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI 2024年第S01期70-80,共11页
When checking the ice shape calculation software,its accuracy is judged based on the proximity between the calculated ice shape and the typical test ice shape.Therefore,determining the typical test ice shape becomes t... When checking the ice shape calculation software,its accuracy is judged based on the proximity between the calculated ice shape and the typical test ice shape.Therefore,determining the typical test ice shape becomes the key task of the icing wind tunnel tests.In the icing wind tunnel test of the tail wing model of a large amphibious aircraft,in order to obtain accurate typical test ice shape,the Romer Absolute Scanner is used to obtain the 3D point cloud data of the ice shape on the tail wing model.Then,the batch-learning self-organizing map(BLSOM)neural network is used to obtain the 2D average ice shape along the model direction based on the 3D point cloud data of the ice shape,while its tolerance band is calculated using the probabilistic statistical method.The results show that the combination of 2D average ice shape and its tolerance band can represent the 3D characteristics of the test ice shape effectively,which can be used as the typical test ice shape for comparative analysis with the calculated ice shape. 展开更多
关键词 icing wind tunnel test ice shape batch-learning self-organizing map neural network 3D point cloud
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