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   motion vision 在 计算机软件及计算机应用 分类中 的翻译结果: 查询用时:0.674秒
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motion vision    
相关语句
  运动视觉
    Kalman Filter-Based Algorithm for Recovery of Dynamical Scene Structure in Motion Vision
    基于Kalman滤波器运动视觉景物结构复原算法
短句来源
    Uncertainty modeling for motion vision system
    运动视觉系统误差建模
短句来源
    Accurate Moving Objects Extraction and Tracking in Motion Vision
    运动视觉中目标的精确提取与跟踪技术
短句来源
    The state-of-the-art of the motion vision analysis and stereovision system is summarized. The existing problem and development trend, which are related with machine vision, are presented.
    综述了运动视觉分析和立体视觉系统的研究概况,指出机器视觉相关研究存在的问题与发展趋势,并给出论文的主要研究内容。
短句来源
    Motion vision analysis is studied in detail.
    对运动视觉分析进行了详细的研究。
短句来源
更多       
  运动视觉
    Kalman Filter-Based Algorithm for Recovery of Dynamical Scene Structure in Motion Vision
    基于Kalman滤波器运动视觉景物结构复原算法
短句来源
    Uncertainty modeling for motion vision system
    运动视觉系统误差建模
短句来源
    Accurate Moving Objects Extraction and Tracking in Motion Vision
    运动视觉中目标的精确提取与跟踪技术
短句来源
    The state-of-the-art of the motion vision analysis and stereovision system is summarized. The existing problem and development trend, which are related with machine vision, are presented.
    综述了运动视觉分析和立体视觉系统的研究概况,指出机器视觉相关研究存在的问题与发展趋势,并给出论文的主要研究内容。
短句来源
    Motion vision analysis is studied in detail.
    对运动视觉分析进行了详细的研究。
短句来源
更多       
  运动视觉
    Kalman Filter-Based Algorithm for Recovery of Dynamical Scene Structure in Motion Vision
    基于Kalman滤波器运动视觉景物结构复原算法
短句来源
    Uncertainty modeling for motion vision system
    运动视觉系统误差建模
短句来源
    Accurate Moving Objects Extraction and Tracking in Motion Vision
    运动视觉中目标的精确提取与跟踪技术
短句来源
    The state-of-the-art of the motion vision analysis and stereovision system is summarized. The existing problem and development trend, which are related with machine vision, are presented.
    综述了运动视觉分析和立体视觉系统的研究概况,指出机器视觉相关研究存在的问题与发展趋势,并给出论文的主要研究内容。
短句来源
    Motion vision analysis is studied in detail.
    对运动视觉分析进行了详细的研究。
短句来源
更多       
  运动视觉
    Kalman Filter-Based Algorithm for Recovery of Dynamical Scene Structure in Motion Vision
    基于Kalman滤波器运动视觉景物结构复原算法
短句来源
    Uncertainty modeling for motion vision system
    运动视觉系统误差建模
短句来源
    Accurate Moving Objects Extraction and Tracking in Motion Vision
    运动视觉中目标的精确提取与跟踪技术
短句来源
    The state-of-the-art of the motion vision analysis and stereovision system is summarized. The existing problem and development trend, which are related with machine vision, are presented.
    综述了运动视觉分析和立体视觉系统的研究概况,指出机器视觉相关研究存在的问题与发展趋势,并给出论文的主要研究内容。
短句来源
    Motion vision analysis is studied in detail.
    对运动视觉分析进行了详细的研究。
短句来源
更多       
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  motion vision
The primary goal in motion vision is to extract information about the motion and shape of an object in a scene that is encoded in the optic flow.
      
Workers in motion vision are rediscovering some of the methods of photogrammetry.
      
Here, we study how photon noise propagates through an array of Reichardt-type motion detectors that are commonly believed to underlie fly motion vision.
      
Whereas this model can account for many properties of motion vision, from humans to insects (review, Borst and Egelhaaf 1989), it has been commonly assumed that this scheme of motion detection is not well suited to the measurement of image velocity.
      
A motion vision system is developed in which a moving object can be detected and image displacement can be estimated based on human visual characteristics and use of a multiresolution image.
      
更多          


This paper builds up first dynamical systemmodel of scene variances in motion vision.Then.we construct Kalman filter which opti-maly estimates dynamic depth of image pointsby this model and recover a dense depth mapof scene structure by using one Kalman filterper image pixel.Finaly,the method and techni-ques presented in this paper are used to testreal and synthetic images.The experimentalresults prove that the algorithm is effective.

本文首先建立了运动视觉景物结构变化的动态系统模型,然后借助于此模型产生可最优估计图象点动态深度的Kalman 滤波器.并对每个象素点利用一个滤波器恢复环境的稠密深度图即景物结构.最后,利用文中提出的方法与技术对实图象及综合图象进行测验,其效果良好.

Sign language is the language used by deaf-mute, which is a steadier expressive system composed of posture motion assisted by expression pose. And it is the special language communicated by motion/vision. On one hand, sign language recognizer can be used as a translator between healthy person and deaf-mute, which provides better service for deaf mute; on the other hand, as a part of body langUage understanding, sign language recognition can be used as a method for human-computer interaction....

Sign language is the language used by deaf-mute, which is a steadier expressive system composed of posture motion assisted by expression pose. And it is the special language communicated by motion/vision. On one hand, sign language recognizer can be used as a translator between healthy person and deaf-mute, which provides better service for deaf mute; on the other hand, as a part of body langUage understanding, sign language recognition can be used as a method for human-computer interaction. In this paper an ANN/HMM-based sign language recognition system is described. Using ANN, feature-mapper on posture, position and orientation is built respectively. In the process of building feature-mapper on posture, multi-feature and multi-classifier fusion algorithm is presented. By experiment, it is shown that ANN/HMM-based sign language recognition system is feasible and effective.

手语是聋哑人使用的语言。它是由手形动作辅之以表倩姿势为符号构成的比较稳定的表达系统,是一种靠动作/视觉交际的特殊的语言。一方面,手语识别可以作为健全人与聋哑人之间的翻译,为聋哑人提供更好的服务;另一方面,作为人体语言理解的一部分,手语识别可作为人机交互的一种手段。该文实现了基于ANN/HMM的手语识别系统,采用ANN方法建立了关于手形、位置、方向的特征映射器,并在建立手形特征映射器的过程中,给出了多特征多分类器融合算法。实验证明,基于ANN/HMM的手语识别系统是可行及实用的。

In order to manipulate image information optimally, the vision system must quantitatively take the measurement uncertainties into account, especially the digital quantization errors. In this paper a normal probability error model of point features in a general motion vision system is presented. We provide a novel representation, which describes uncertainty with the expects of the feature coordinates as well as the inverse of the covariance matrix. 2D image points uncertainties can also be represented...

In order to manipulate image information optimally, the vision system must quantitatively take the measurement uncertainties into account, especially the digital quantization errors. In this paper a normal probability error model of point features in a general motion vision system is presented. We provide a novel representation, which describes uncertainty with the expects of the feature coordinates as well as the inverse of the covariance matrix. 2D image points uncertainties can also be represented by an extension of this unified 3D form. Explicit formulas and experimental results for both error generation and evolution are presented.

为了充分利用图像信息,运动视觉系统需要定量处理测量误差,特别是像素量化效应导致的不确定性.在提出一般运动视觉系统点特征误差的正态概率模型的基础上,用特征坐标的期望值和协方差矩阵之逆来描述位置的不确定性,其扩展形式建立了二维图像点和三维特征点位置不确定性的统一描述.同时也具体给出了误差形成、传播和估计的计算公式和实验结果.

 
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