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Chinese Academy of Sciences Institutional Repositories Grid
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Research on load-bearing characteristics of precision air-bearing rotary stage (EI CONFERENCE) 会议论文  OAI收割
3rd international Conference on Manufacturing Science and Engineering, ICMSE 2012, March 27, 2012 - March 29, 2012, Xiamen, China
作者:  
Wang L.;  Wang L.;  Wang L.;  Lin J.
收藏  |  浏览/下载:117/0  |  提交时间:2013/03/25
Air-bearing is a core component of air-bearing rotary stage. The weakness that the air-bearing has the low load capacity and stiffness has been concerned about by domestic and foreign scholars. So how to improve the load capacity and stiffness has become a serious problem. In order to improve the load capacity and stiffness of the air-bearing rotary stage  in this paper  we improved structure of Zhang Wenjie and others' high-precision direct-drive air-bearing rotary stage. The gas film of air-bearing has been meshed by GAMBIT software  and we use FLUENT software to obtain the carrying capacity features of the gas film. Finally  the structural static force of the precision air-bearing rotary stage will be analyzed by ANSYS software. The analysis results show that: the structural design of the precision air-bearing rotary stage is reasonable  and this structure can provide a larger range of loads. Even in heavy load conditions  a larger deformation will not occur any more. It has a good practical value  and also can be widely used in high precision equipments. (2012) Trans Tech Publications.  
Features extraction and matching of teeth image based on the SIFT algorithm (EI CONFERENCE) 会议论文  OAI收割
2012 2nd International Conference on Computer Application and System Modeling, ICCASM 2012, July 27, 2012 - July 29, 2012, Shenyang, China
作者:  
Wang X.;  Wang X.;  Wang X.
收藏  |  浏览/下载:28/0  |  提交时间:2013/03/25
Using of SIFT algorithm in the image of teeth model  can detect the features of the teeth image effectively. In this approach  first  search over all scales and image locations by using a difference-of-Gaussian function to identify potential interest points that are invariant to scale and orientation. Second  select keypoints based on measures of their stability and a detailed model is fit to determine location and scale at each candidate location. Third  assign one or more orientations to each keypoint location based on local image gradient directions. Last  measure the local image gradients at the selected scale in the region around each keypoint. And then use the KNN algorithm to match the features. Through lots of experiments and comparing with other feature extraction methods  this method can detect the features of the teeth model effectively  and offer some available parameters for 3D reconstruction of the teeth model. the authors.  
An improved algorithm to generate high quality progressive animation models (EI CONFERENCE) 会议论文  OAI收割
2010 International Conference on Biomedical Engineering and Computer Science, ICBECS 2010, April 23, 2010 - April 25, 2010, Wuhan, China
作者:  
Zhao J.;  Zhang S.
收藏  |  浏览/下载:26/0  |  提交时间:2013/03/25
In computer graphics  investigation has been made in many years in progressive models generation to alleviate the workload of visualization processing. However  most of the existing algorithms only focus on static meshes  and very little works are to deal with animation models. In this paper  we propose an improved method for generating progressive multiresolution animation models. By the method we first use a normal deviation parameter to improve the famous QEM method as our basic edge contraction metric to generate a base hierarchy. The sequence of the simplified models is generated progressively from the first frame to the last one. Based on the edge contraction sequence in the previous frame  the contraction order in the current frame is adjusted according to the deformation degree. We demonstrate that our method works efficiently and can generate better approximations with well-preserved features than previous methods. 2010 IEEE.  
The development and design of the chemiluminescence detection system based on DSP (EI CONFERENCE) 会议论文  OAI收割
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
Zhu J.-W.
收藏  |  浏览/下载:21/0  |  提交时间:2013/03/25
A new algorithm to approximate deforming models based on torsion detection (EI CONFERENCE) 会议论文  OAI收割
2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010, September 23, 2010 - September 25, 2010, Chengdu, China
作者:  
Zhang S.;  Wang G.
收藏  |  浏览/下载:27/0  |  提交时间:2013/03/25
Multiresolution animated models generation based on deformation distance analysis (EI CONFERENCE) 会议论文  OAI收割
2009 International Conference on Computer Modeling and Simulation, ICCMS 2009, February 20, 2009 - February 22, 2009, Macau, China
Shixue Z.; Enhua W.
收藏  |  浏览/下载:61/0  |  提交时间:2013/03/25
In computer graphics  animated models have been widely used to represent time-varying data. Reducing the models complexly is a common way to overcome the rendering limitations. In this paper  2009 IEEE.  we propose an efficient method for generating multiresolution animated models based on deformation distance analysis. Our method obtains different LOD models by performing iterative edge contraction operations. We use deformation distance to analysis the deformation degree of the triangle planes during the whole animation  and define a deformation weight to be added to the aggregated edge contraction cost. Thus features in areas with large deformation can be preserved well. Besides  we propose a mesh optimization method for dynamic model sequence  which can efficiently improve the temporal coherence and reduce visual artifacts between adjacent frames. The results show our approach is efficient  easy to implement  and good quality animated approximations with well-preserved fine details can be generated at any given frame. copy  
Detection of low contrast targets based on lifting scheme wavelet transform (EI CONFERENCE) 会议论文  OAI收割
2009 IEEE International Conference on Mechatronics and Automation, ICMA 2009, August 9, 2009 - August 12, 2009, Changchun, China
作者:  
Chen X.;  Wang Y.;  Wang Y.;  Wang Y.;  Wang Y.
收藏  |  浏览/下载:16/0  |  提交时间:2013/03/25
Compression of hyper-spectral images based on quadtree partitioning (EI CONFERENCE) 会议论文  OAI收割
2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009, August 8, 2009 - August 11, 2009, Beijing, China
作者:  
Zhang W.;  Zhang W.
收藏  |  浏览/下载:42/0  |  提交时间:2013/03/25
An improved method for generating multiresolution animation models (EI CONFERENCE) 会议论文  OAI收割
2009 11th IEEE International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2009, August 19, 2009 - August 21, 2009, Huangshan, China
作者:  
Zhang S.
收藏  |  浏览/下载:36/0  |  提交时间:2013/03/25
In computer graphics  animated models are widely used to represent time-varying data. In this paper  we propose an improved method to generate multiresolution animation models. We use a curvature sensitive quadric error metric (QEM) criterion as our basic measurement  which can preserve local features on the surface. We append a deformation weight to the aggregated edge contraction cost for the whole animation to preserve areas with large deformation. At last  we introduce a mesh optimization method to deal with the animation sequence  which can efficiently improve the temporal coherence and reduce visual artifacts. The results show our approach is efficient  easy to implement  and good quality progressive animation models can be generated at any level of detail. 2009 IEEE.  
A new segmentation method of CR images based on discrete wavelet transform and mathematics morphology (EI CONFERENCE) 会议论文  OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
作者:  
Li Z.;  Li Z.
收藏  |  浏览/下载:68/0  |  提交时间:2013/03/25
In this paper  we propose a segmentation method of CR(computed radiography) images with being rid of under-segmentation and over-segmentation. An under-segmentation occurs when pixels belonging to different objects are grouped into a single region. Such errors are the most dangerous because they can invalidate the whole segmentation process. The phenomenon always takes place when we segment CR images because of the principle of CR. In order to depressed under-segmentation  we enhance the CR images using DWT (discrete wavelet transform) to get more detail of CR image features. As we enhance the CR image  the over-segmentation maybe occurs. Compared with under-segmentation  the over-segmentation occurs when a single objects is subdivided by segmentation into several region. For the purpose of preventing from the over-segmentation  we present a scheme for enhanced CR images based on watershed algorithm that solves over-segmentation problem. We use marker-based watershed algorithm. Together with gradient image and marker image  watershed segmentation can make sure to partition CR image into meaningful object and avoid further segmentation of homogeneous regions. The result of the proposed algorithm are compared with those of other standard methods. Experiments have shown a better result and indeed solved under-segmentation and over-segmentation problems.