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   motion vision 的翻译结果: 查询用时:0.171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
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     In general, the human motion vision analysis includes the follow four steps: motion detection, moving object classification, people tracking, motion understanding and description.
     人体运动视觉分析一般包含运动检测,运动目标分类,人体跟踪,行为理解与描述四个阶段。
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。
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     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
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  运动视
     Mobile Robot Localization Based on Motion Vision
     基于运动视的移动机器人定位方法
短句来源
     This paper presents a novel localization method based on motion vision.
     提出了一种新颖的基于运动视的定位方法 .
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  “motion vision”译为未确定词的双语例句
     This paper discusses the theory of a vision based inspection system and two key techniques involved, i.e. the acquisition of range data and modeling of sensed data. Two efficient methods, a motion vision of multiple baseline and range imaging of structure light, are presented.
     本文探讨了基于视觉的三维检测系统的原理和所涉及到的两个关键技术:深度数据获取和传感数据建模,提出了两种高效的深度获取方法,即多基线的运动体视和结构光深度成像方法,同时,给出了由透视深度图构造八叉树的快速方法。
短句来源
     Gait recognition, the second biometrics identification technology based on motion vision, is used to signify the identity of individuals in image sequences‘by the way they walk’.
     步态识别,非接触式远距离的身份识别研究——基于运动视觉的第二代生物特征识别技术,是根据拍摄的行走视频,通过人体走路的方式辨别人体身份。
短句来源
     Human motion vision analysis is a new research direction. It includes many science domains, such as: Pattern Classification, Image Processing, Computer Vision and Artificial intelligence, etc.
     人体运动的视觉分析是一个新兴的研究领域,涉及模式识别,图像处理,计算机视觉,人工智能等多门学科。
短句来源
     In recent years, the motion vision technology, for tracking high-speed object and measuring motion parameter, is widely used, along with the improvement of the frame rate, resolution, dynamic range and sensitive of camera.
     近年来,随着相机的帧频速度、分辨率、动态范围和灵敏度的不断提高,运用动态视觉测量技术对快速运动目标进行跟踪、运动参数进行测量已成为一种普遍采用的技术。
短句来源
     Result The patients with light sense and hand motion vision accounted for 16.7% while the patient with vision above counting fingers was 70.3%. The average effective rate was 57.1%.
     结果 40例患者中,无光感或手动组有效率为16.7%,指数以上组有效率为70.3%,平均57.1%。
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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.
      
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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.

In this paper the discoveries on motion vision in biology and psychophysics are reviewed and summarized as an hierarchical primitive model with nine basic motion constraints. A motion analysis algorithm based on the model and constraints is presented.

本文综述了生物学和心理物理学中有关运动视觉的发现,并将它们总结为层次结构基元模型和九条运动基本约束.给出了一个以此为基础的运动分析算法和初步的实验结果.

This paper proposes a robust and reliable algorithm which can be used to detect image motion in optical flow and motion discontinuitics effcetively using local uniform operations and correlation--based motion detector. This algorithm will open a new way of furture research on dynamic motion vision.

本文基于局部均匀操作及相关运动检测器提出一种能够有效地检测光流图象运动及运动间断的强而可靠的算法,从而为进一步研究动态运动视觉开辟了新的途经.

 
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