助手标题  
全文文献 工具书 数字 学术定义 翻译助手 学术趋势 更多
查询帮助
意见反馈
   recognition and localization 的翻译结果: 查询用时:0.181秒
图标索引 在分类学科中查询
所有学科
计算机软件及计算机应用
更多类别查询

图标索引 历史查询
 

recognition and localization
相关语句
  识别和定位
     3D object recognition is one of the main research fields of computer vision, which requiring recognition and localization of the 3D object from 2D images.
     三维物体识别是计算机视觉研究的重要内容之一,它要求从3D物体的2D图像中识别和定位物体。
     Application of mathematical morphology in the recognition and localization of circle object
     数学形态学在圆形目标识别和定位中的应用
短句来源
     3D object recognition, which requires recognition and localization of the 3D object from 2D images, is one of the main research fields of computer vision.
     三维物体识别是计算机视觉研究的重要内容之一,它要求从3D物体的2D图象中识别和定位物体.
短句来源
     In general, the dominant paradigm in 3D objects recognition system proposes to achieve recognition and localization of 3D objects from images by a two stage process: first derive an internal representation of a scene from the sensed input data and then match it against stored representations of objects in the database.
     一般来说 ,三维物体识别系统可以通过两个阶段的处理来完成三维物体的识别和定位 ,首先用传感器获取的场景输入数据来得到场景的表达 ; 然后将它与数据库中存储的物体表达相匹配 .
短句来源
     The precise edge detection in range image was the base of 3-D object recognition and localization.
     深度图像边缘提取是物体识别和定位的基础。
  “recognition and localization”译为未确定词的双语例句
     Research on Recognition and Localization Methods for Autonomous Soccer Robot
     全自主型足球机器人目标识别与定位方法研究
短句来源
     Object Recognition and Localization Based on Vision in Robotic Mapping
     地图构建中基于视觉的物体识别与定位
短句来源
     1.An object recognition and localization algorithm based on local feature―turning angle between neighbouring tangent vectors, is presented.
     1.提出了基于切矢转角局部特征的目标识别与定位算法。
短句来源
     A Rule-Based Approachto the Recognition and Localization of Objects
     基于规则的物体识别定位方法
短句来源
     Fast Recognition and Localization of Objects for Soccer Robot
     集控式足球机器人目标快速识别及定位
短句来源
更多       
  相似匹配句对
     The recognition is to?
     在识别单义域、矢量和工程图元时,既注重横向的关联又重视纵向的关联。
短句来源
     Recognition of the Sandstorm
     重新认识沙尘暴
短句来源
     Symbol recognition.
     符号识别。
短句来源
     Identity and Recognition
     认同与承认
短句来源
     The localization of semirings
     半环的局部化
短句来源
查询“recognition and localization”译词为用户自定义的双语例句

    我想查看译文中含有:的双语例句
例句
为了更好的帮助您理解掌握查询词或其译词在地道英语中的实际用法,我们为您准备了出自英文原文的大量英语例句,供您参考。
  recognition and localization
Experimental results are described, using some bench-mark data sets and three sets of newly collected data, showing the relative merits of our method in recognition and localization tasks.
      
This introduction provides an overview of these articles, and shows how they fit within a coherent framework for understanding the process of object recognition and localization.
      
Constraint fusion for recognition and localization of articulated objects
      
We show that the constrained search method can be extended to handle the recognition and localization of such generalized classes of object families.
      
Another important development is the application of Doppler color flow mappping, which facilitates vessel recognition and localization.
      
更多          


he authors propose a method for object recognition and localization using sparse structured light images.The key to this kind of methods is to raise efficiency of sensor planning. Here a concept of the maximum expected rate of hypothesis reduction(MERHR) is introduced to evaluate sensor positions. It is shown that the number of sensor placements in the process of object recognition and localization will be reduced to its minimum by adjusting the sensor positions according to the concept. In order...

he authors propose a method for object recognition and localization using sparse structured light images.The key to this kind of methods is to raise efficiency of sensor planning. Here a concept of the maximum expected rate of hypothesis reduction(MERHR) is introduced to evaluate sensor positions. It is shown that the number of sensor placements in the process of object recognition and localization will be reduced to its minimum by adjusting the sensor positions according to the concept. In order to reduce computation in the on-line phase, the computation for optimal sensor positions is carried out off-line and verified with simulation.This makes it possible to accomplish sensor planning by just refering to a lockup table and performing a related transform. The proposed concept and its implementation are focused on, and the preliminary experimental results are also given.

本文提出一种采用稀疏结构光实现对物体识别定位的方法。采用这种方法的关键是提高传感器规划策略的效率,为此作者提出了评价传感器方位的最大期望假设递减率概念,按照这种概念选择传感器采集信息的方位,可以使完成物体识别定位过程所需的平均调动传感器次数降为最低。为了使在线识别定位过程中的计算量降低,计算最佳视点的工作可以放在离线建模与仿真阶段进行,从而使在线传感器规划通过查找表及相应变换实现。本文着重说明这种新概念及其实现方法,并显示初步实验结果。

Dynamic sensor placement is crucial to the recognition and localization of objects using computer visionprinciples.In this paper,we have proposed an approach to the sensor placement for the recognition andlocalization of objects,and developed a simulation system by use of this approach.The approach utilizesrules to dynamically plan sensor positions in the process of recognition and localization,and therefore it canwell demonstrate the effectiveness of active vision principles.Experiments have...

Dynamic sensor placement is crucial to the recognition and localization of objects using computer visionprinciples.In this paper,we have proposed an approach to the sensor placement for the recognition andlocalization of objects,and developed a simulation system by use of this approach.The approach utilizesrules to dynamically plan sensor positions in the process of recognition and localization,and therefore it canwell demonstrate the effectiveness of active vision principles.Experiments have shown that the approach isquite efficient and reliable.

提出了用于物体识别定位的传感器规划方法,并利用该方法对物体进行了识别定位仿真实验。该方法利用规则在识别定位过程中动态地规划传感器的方位,较好地显示了主动视觉的作用。实验表明,该方法简明有效且具有较高的可靠性。

For the requirement of many practical applications in the area of industry and medicine, the research in three dimensional objects recognition is very active. In general, the dominant paradigm in 3D objects recognition system proposes to achieve recognition and localization of 3D objects from images by a two stage process: first derive an internal representation of a scene from the sensed input data and then match it against stored representations of objects in the database. This paper presents a comprehensive...

For the requirement of many practical applications in the area of industry and medicine, the research in three dimensional objects recognition is very active. In general, the dominant paradigm in 3D objects recognition system proposes to achieve recognition and localization of 3D objects from images by a two stage process: first derive an internal representation of a scene from the sensed input data and then match it against stored representations of objects in the database. This paper presents a comprehensive survey of the achievement of 3D objects recognition system in the recent decade. The three problems are discussed which are the type of sensors used, 3D objects representation and match strategy. Furthermore, the paper classifies and summarizes the primary schemes. At last, we describe some problems requiring a thorough research on three dimensional vision system, such as the limitation by the class of shapes that can be described in most of the representation schemes, the clustered background influence on the recognition, and the contradiction between global and local in the 3D objects representation and recognition.

出于工业和医疗等领域大量现实应用的需要 ,如今三维物体识别已成为一个很活跃的研究领域 .一般来说 ,三维物体识别系统可以通过两个阶段的处理来完成三维物体的识别和定位 ,首先用传感器获取的场景输入数据来得到场景的表达 ;然后将它与数据库中存储的物体表达相匹配 .为了推动该领域研究进一步发展 ,因而对近10 a年中该识别过程中必须解决的传感器类型、三维物体表达方法和匹配策略等 3个方面问题的研究成果进行了综述 ,对主要方法进行了分类和总结 ;并提出了一些三维视觉系统中还需要深入研究的问题 ,包括对所研究物体形状的限制、复杂背景的影响和表达以及识别中的“整体和局部”的矛盾等

 
<< 更多相关文摘    
图标索引 相关查询

 


 
CNKI小工具
在英文学术搜索中查有关recognition and localization的内容
在知识搜索中查有关recognition and localization的内容
在数字搜索中查有关recognition and localization的内容
在概念知识元中查有关recognition and localization的内容
在学术趋势中查有关recognition and localization的内容
 
 

CNKI主页设CNKI翻译助手为主页 | 收藏CNKI翻译助手 | 广告服务 | 英文学术搜索
版权图标  2008 CNKI-中国知网
京ICP证040431号 互联网出版许可证 新出网证(京)字008号
北京市公安局海淀分局 备案号:110 1081725
版权图标 2008中国知网(cnki) 中国学术期刊(光盘版)电子杂志社