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attribute graph
相关语句
  属性图形
     Study to Attribute Graph Representation Based on STEP Neutral File..
     基于STEP中性文件的属性图形表示法研究
短句来源
     The paper offers basic conception and representation of attribute graph method, discusses the course which STEP neutral file be reflected to attribute graph, calculation and implementation approach, and lays a foundation for puting forward a concrete CAPP system
     提出了属性图形法的基本概念和表示方法,论述了映射STEP中性文件到属性图形的过程、计算以及实现等方法,为提出一个具体的CAPP系统奠定了基础。
短句来源
  属性图表示
     A General Face Image Recognition System Based on Dual Attribute Graph
     基于双属性图表示的通用人脸图像识别系统
短句来源
  “attribute graph”译为未确定词的双语例句
     The feature definition data model of the panel is defined and its feature attribute graph is given.
     定义了覆盖件产品特征定义数据模型,建立了产品特征属性图。
短句来源
     In modeling stage, a multiple-view surface model is applied to build a model represented by a model attribute graph (MAGR) according to surface segmentation.
     在建模阶段,采用多视图表面模型方法进行建模,依据表面分割,对多视图模型用一个模型特征图进行表达(MAGR)。
短句来源
     In the preprocessing stage,the enclosed edges of visible object surfaces are detected first and a scene attribute graph to represent the scene(SAGR)is used.
     该方法在图象预处理阶段先检测物体可视表面的闭合边界,再依据闭合边界对物体进行表面分割,并用一个景物特征图对景物进行表达(SAGR).
短句来源
     In modeling stage,a multiple-view surface model is applied to build a model represented by a model attribute graph(MAGR)accord- ing to surface segmentation.
     在建模阶段,先采用多视图表面模型方法建模,再依据表面分割,对模型用一个模型特征图进行表达(MAGR).
短句来源
     The paper presents a general face image recognition system GFRS [1] . It is expected to recognize the face images subject to vary of disturbances, with the assumption that there exists a single image for each object in data bases. In the system, a dual attribute graph is proposed to represent the face image.
     该文提出一个通用的人脸图像识别系统 GFRS[1 ] ,对于人脸库中每个待识目标只存储一幅图像的情况下 ,可以实现各种干扰条件下人脸图像的识别 .
短句来源
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  相似匹配句对
     [s,t]-GRAPH
     [s,t]-图及其Hamilton性
短句来源
     Attribute Description of Human Face from Graph Spectra Decomposition
     基于图谱分解的人脸特征描述
短句来源
     Graph Theory.
     Graph Theory。
短句来源
     attribute set;
     属性集;
短句来源
     On Constitution Attribute
     宪法属性论
短句来源
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  attribute graph
Our model is based on a directed acyclic attribute graph, or table DAG.
      
The old attribute graph i-1 finds matched vertices 1, 2 and 5 and their adjacent edges in the ith retrieval.
      
The procedure is repeated for all nodes in the graph, yielding an attribute graph.
      
This major release is also visible in an increase in the quality attribute graph.
      
Figure 3 illustrates how the new attribute graph is generated for every retrieval.
      
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A new 3D objects recognition approach based on topology and 3-D attributes is presented. In the preprocessing stage, the enclosed edges of visible object surfaces are detected first and a scene attribute graph to represent the scen(?) (SAGR) is used. In modeling stage, a multiple-view surface model is applied to build a model represented by a model attribute graph (MAGR) according to surface segmentation. In object recognition stage, the approach divides the matching between scene and model into...

A new 3D objects recognition approach based on topology and 3-D attributes is presented. In the preprocessing stage, the enclosed edges of visible object surfaces are detected first and a scene attribute graph to represent the scen(?) (SAGR) is used. In modeling stage, a multiple-view surface model is applied to build a model represented by a model attribute graph (MAGR) according to surface segmentation. In object recognition stage, the approach divides the matching between scene and model into three parts, i.e. the Scanner, the Graph matcher and the Matching Verifier. The matching is based on the topology at first, then on the 3-D attributes between SAGR and MAGR. According to the matching the approach either automatically builds model for unknown scene or gives the recognition results. The effectiveness of the approach presented in this paper has been shown in the experiments.

本文提出一种基于拓扑图及三维特征的三维物体识别方法。该方法在图像预处理阶段首先检测物体可视表面的闭合边界,依据闭合边界对物体进行分割,并用一个景物特征图对景物进行表达(SAGR)。在建模阶段,采用多视图表面模型方法进行建模,依据表面分割,对多视图模型用一个模型特征图进行表达(MAGR)。在物体识别阶段,将景体与模型的匹配分成三部分进行,即扫描部件、图的匹配部件及匹配检验部件。匹配首先是基于SAGR与MAGR图的拓扑性质的匹配,然后是基于三维特征的匹配。根据匹配结果,或对未知物体自动建模,或给出识别结果。

A new 3-D objects recognition approach based on topology and 3-D attributes is presented.In the preprocessing stage,the enclosed edges of visible object surfaces are detected first and a scene attribute graph to represent the scene(SAGR)is used.In modeling stage,a multiple-view surface model is applied to build a model represented by a model attribute graph(MAGR)accord- ing to surface segmentation.In object recognition stage,the approach divides the matching between scene and model into three parts,i.e.the...

A new 3-D objects recognition approach based on topology and 3-D attributes is presented.In the preprocessing stage,the enclosed edges of visible object surfaces are detected first and a scene attribute graph to represent the scene(SAGR)is used.In modeling stage,a multiple-view surface model is applied to build a model represented by a model attribute graph(MAGR)accord- ing to surface segmentation.In object recognition stage,the approach divides the matching between scene and model into three parts,i.e.the Scanner,the Graph Marcher and the Matching Verifier.The matching is based on the topology at first,then on the 3-D attributes between SAGR and MAGR.Aecording to the matching the approach either automatically builds model for unknown scene or gives the recognition results.The effectiveness of the approach presented in this paper has been shown in the experiments.

提出一种基于拓扑图及三维特征的三维物体识别方法.该方法在图象预处理阶段先检测物体可视表面的闭合边界,再依据闭合边界对物体进行表面分割,并用一个景物特征图对景物进行表达(SAGR).在建模阶段,先采用多视图表面模型方法建模,再依据表面分割,对模型用一个模型特征图进行表达(MAGR).在物体识别阶段,将景物与模型的匹配分3部分进行,即扫描部件、图的匹配部件及匹配检验部件.匹配首先是基于 SAGR 与 MAGR 图的拓扑性质的匹配,然后是基于三维特征的匹配.根据匹配结果,或对未知物体自动建模,或给出识别结果.

The paper presents a general face image recognition system GFRS [1] . It is expected to recognize the face images subject to vary of disturbances, with the assumption that there exists a single image for each object in data bases. In the system, a dual attribute graph is proposed to represent the face image. First, a location algorithm (refining step by step) is used to detect the location of local facial feature points in the image. Each feature point is described by two attributes of the feature,...

The paper presents a general face image recognition system GFRS [1] . It is expected to recognize the face images subject to vary of disturbances, with the assumption that there exists a single image for each object in data bases. In the system, a dual attribute graph is proposed to represent the face image. First, a location algorithm (refining step by step) is used to detect the location of local facial feature points in the image. Each feature point is described by two attributes of the feature, local principal component coefficient and Gabor transform coefficient. Therefore, the dual attribute graph of the face image is constructed. Then, the matching function and matching algorithm of dual attribute graphs, and the corresponding recognition method are given.

该文提出一个通用的人脸图像识别系统 GFRS[1 ] ,对于人脸库中每个待识目标只存储一幅图像的情况下 ,可以实现各种干扰条件下人脸图像的识别 .该系统提出使用双属性图来表示人脸图像 ,首先利用逐步求精定位法得到人脸图像各局部特征点的位置 ,图中每个特征点由两个特征属性来描述 ,即局部主成分特征系数和 Gabor变换特征系数 ,从而构造了双属性图 .然后给出双属性图匹配函数、匹配算法以及相应的识别方法

 
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