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物体识别 in a sentence

SentencesMobile
  • Geometric invariance and its applications to 3d object recognition
    物体识别中的应用
  • Transient chaotic neural network for 2d object recognition
    二维物体识别的暂态混沌神经网络方法
  • The viewpoint debates in object recognition
    物体识别中的视点问题
  • The summarizations on the different brain mechanism study between face recognition and object recognition
    面孔识别与物体识别的不同脑机制研究综述
  • The results of image analyzing and object recognition have a close relationship with the performance of edges detector
    边缘检测器的性能直接影响着图像分析和物体识别的结果。
  • Presently , there are three methods of 3d object recognition : based on the theory of vision calculate , based on initiative vision and based on model
    目前对三维物体识别的研究方法大体可分为基于视觉计算理论、基于感知组织理论、主动视觉以及基于模型的视觉等类型。
  • We have set up a multimodal integrated experiment flat roof for windows . and we also have realized a vr system based on recognition , orientation and assemble aid
    建立了windows环境下的多模综合实验平台,实现了一个基于视点的物体识别、定位以及装配帮助的虚拟现实系统。
  • ( 3 ) the methods of determining the degree of ii ? curves based on the boundary of objects and tightly fitting objects with ip curve are proposed . the algorithms would help to fit and describe objects automatically by computer
    这为计算机自动选取适当次数的隐含多项式曲线拟合与描述物体提供了依据,同时减少了图像物体识别中人的参与。
  • Fractional correlation ( fc ) is the general notion of conditional correlation , because it is based on fractional fourier transform ( frt ) . fc can be used in shift - variant object recognition because it is a shift - variant operation
    基于分数傅里叶变换的分数相关比传统的相关更一般化,它是平移变化的,从而可用于平移变化的物体识别
  • The experimental results show that the invariants are efficient and robust to recognize objects and even to recognize the object with some information missing . ( 5 ) the algorithm of the symmetry detection is presented base on ii ? curves
    实验表明,获得的不变量对物体识别十分有效,能克服噪声的影响,对缺失部分信息的物体仍然有很好的识别能力。
  • 物体识别造句挺难的,這是一个万能造句的方法
  • Because the research achievements can be applied directly on measurement , object recognition , visual reality and many other fields , the researches on computer vision problem have become one of the most popular research subjects in the world
    由于计算机视觉的研究成果可以直接应用于测量、物体识别、虚拟现实等众多领域,所以计算机视觉问题的研究已称为当今世界上最热门的研究课题之一。
  • The image features of object and ambiance in the real robot visual servo system are analyzed . the method of object recognition based on image segmentation and corner detection is presented . an image is segmented into several regions by image segmentation
    分析了实际的机器人视觉系统中目标物体以及环境的图像特征,提出基于图像分割与角点检测的物体识别方法,通过图像分割将整幅图像分割为一个个的单一物体区域,分别利用角点检测,找出与模板角点信息相匹配的区域,然后利用基于模糊自适应操作算子遗传算法的图像匹配方法寻求最优匹配。
  • With the characteristics of the task of preprocessing and recognition of underwater acoustic images , the nonlinear methods based on the mathematical morphology was proposed here . the performance of it is better than the conventional methods for the case of suppressing noise , detecting edges and recognition
    本文针对水声图象预处理和识别的特殊性,把数学形态学的形态变换应用到“声视觉系统”的预处理和识别中,实现了以数学形态学为理论基础的非线性处理方法,使得图象的去噪、边缘提取和物体识别等处理较传统方法优越和快速。
  • In the application of mini - micro - robot visual perception , there is a need for fish - eye lenses for capturing wide field of view for navigation . though fish - eye lenses provide a wide field of view ( 180 ) , they introduce significant distortion in images and the acquired images are quite warped , which makes conventional camera calibration algorithms no longer work well . this paper presents an accurate calibration framework for fish - eye lens ( a high distortion lens ) camera stereo vision system . the accurate calibration model is formulated with radial distortion , decentering distortion and thin prism distortion based on the fisheye deformation model . using fish - eye and non - linear camera model , the author employs levenberg - marquardt method to realize precise non - linear calibration for wide - view - scene dense depth image recovery
    鱼眼镜头成像立体视觉系统在微小型机器人视觉导航和近距离大视场物体识别与定位中有着广泛的应用.尽管鱼眼镜头摄像机具有很大的视场角(接近180 ) ,但同时也引入严重的图像变形,常规的摄像机标定方法无法使用.该文提出一种标定鱼眼镜头摄像机立体视觉系统的方法.在鱼眼镜头变形模型的基础上,通过考虑鱼眼镜头成像的径向变形、偏心变形和薄棱镜变形,建立了鱼眼镜头成像的精确成像模型,然后,利用非线性迭代算法,精确求解摄像机外部参数、内部参数.实验表明,使用该方法得到的立体视觉系统参数满足精确恢复大场景稠密深度图的要求
  • Structural matching is a main approach for on - line chinese character recognition . in order to reduce its great computational comple xity and improve its performance , people have been seeking for a way to guide the whole matching by the result of partial matching . in this paper , the authors prop osed 45 basic components from 3 , 755 categories of the daily - used chinese charac ters to guide the stroke segment matching . because they always locate at either the beginning or the end of the stroke segment string , these components are easy to extract and separate from other parts of the character . besides , the reference templates of these components are dynamically extracted from the reference segmen tstring and dependent on the current matched character so that a more accurate matching is carried out . experiments show that the segment matching computation h as reduced almost 50 % . the approach is also enlightening for other similar object matching problem
    结构匹配是一种有效的联机手写汉写识别方法,为了减少匹配运算,人们一直在寻求利用部分匹配的结果来引导整体匹配的方法.在特征匹配与结构匹配综合的基础上,从3 . 755个一级国标汉字中提取出45个子结构,利用它们来引导结构匹配.由于这些子结构总出现在字首或字尾,因而对它们的检测比较容易.同时,通过建立子结构活动模板及设计子结构动态抽取算法,使得子结构匹配的准确度得到很大提高.实验结构表明,该方法使结构匹配的运算量减少约50 % ,并对类似的物体识别问题有一定的启发意义
  • The general process of recognition of objects is the following : firstly , segment objects from the image . secondly , calculate the invariant independent of transformation of objects according to the description of contour . finally recognize the object with some algorithms in pattern recognition
    图像物体识别的一般步骤是先将待识别的目标物体从图像和图像里的其它物体中分割出来,然后通过对其边界轮廓进行有效的描述,寻找各种变换下与物体描述无关的不变量,最后采用模式识别的一些方法实现对图像中目标物体的识别。
  • Because the research achievements can be applied directly on robot localization and navigation , precise industry measurement , object recognition , visual reality , military affairs and many other fields , the researches on computer vision problems have become one of the most popular research subject in the world
    由于计算机视觉的研究成果可以直接应用于机器人定位与导航、精密工业测量、物体识别、虚拟现实以及军事等众多领域,所以计算机视觉问题的研究已成为当今世界上最热门的研究课题之一。
  • Pile ng examination of the system based on the latest promulgated by the ministry of public security , " motor vehicle drivers license application and management " ( decree 71 ) , the two examination subjects ( zhuangkao ) , computer images using real - time detection technology and electronic infrared optical interface detection technology , i combine the companies creating two - dimensional moving object identification and tracking software through acquisition of vehicles running state examination pile pole , the signal line , after computer processing , analysis and judgment , the actual realization of the computer monitor screen on the basis of the examination process real - time simulation , tracking examination candidates track and record car line , is set admission , examination results published combines the real modernization zhuangkao tools
    本系统依据公安部最新颁布的《机动车驾驶证申领及管理规定》 ( 71号令)中有关科目二考试(桩考)的规定,采用微机图象实时检测处理技术及电子红外线光界面检测技术,结合我公司独创的二维移动物体识别跟踪软件,通过采集考试车辆运行状态、桩杆、库线等信号,经过微机处理、分析判断,真正实现了在微机监视屏上根据考试过程实时模拟、跟踪考生考车轨迹并记录路线,是集录取、考试、发表成绩为一体的真正的现代化桩考工具。
  • With the development of the technology of the computer stereovision , the binocular stereo sensor has applied in field of industry detection , object identification , robot automatic guidance , navigation etc . with the appearance of new opto - electronic scanning technique , automatic technique , highspeed data processing technique and more effective algorithm , the binocular stereo ranging method has new headway and application the contents are arranged as following
    随着计算机视觉技术的不断发展,立体视觉传感器得到越来越广泛的应用,尤其是双目视觉传感器的结构简单、使用方便、速度快、精度高等诸多优点被广泛应用地于工业检测、物体识别、机器人自导引、航天、航空及军事等很多领域。随着新型光电扫描技术、新型阵列型光电探测器件及更有效的算法出现,结合迅猛发展的自动控制与高速数据处理技术,立体视差测距方法有了新进展及应用。
  • Because the research achievements can be applied directly on robot localization and navigation , precise industry measurement , object recognition , visual reality , military affairs and many other fields , the researches on computer vision problem have become one of the most popular research subjects in the world
    由于计算机视觉的研究成果可以直接应用于机器人定位与导航、精密工业测量、物体识别、虚拟现实以及军事等众多领域,所以计算机视觉问题的研究已称为当今世界上最热门的研究课题之一。
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How can I put and write and define 物体识别 in a sentence and how is the word 物体识别 used in a sentence and examples? 用物體識別造句, 用物体识别造句, 用物體識別造句, 物体识别 meaning, definition, pronunciation, synonyms and example sentences are provided by ichacha.net.