立体视觉

lì tǐ shì jué
  • stereoscopic vision
立体视觉立体视觉
  1. 而视功能的形觉和深度觉是视觉质量的重要体现,因此,我们采用对比敏感度和立体视觉检查对近视患者LASIK术前、术后视功能情况进行全面地评价和分析。

    The sense and depth perception in visual function are important manifestation of visual quality . So we have evaluated and analysed contrast sensitivity ( CS ) and stereoscopic vision before and after LASIK .

  2. 结论MIOL植入安全而有效,可以提供与SIOL一样良好的远视力,及更好的近视力及立体视觉、更广的焦深、较低的戴近用镜率及较高的病人满意度。

    It can provide good DVA as the SIOL does , but better NVA and stereoscopic vision , less glasses use and higher satisfaction than the latter .

  3. 注意定向对立体视觉影响机制的ERP研究

    The Effect of Attention Orienting on Stereopsis and Its Neural Mechanism

  4. 基于CAD模型的立体视觉目标运动估计

    Kinetic parameters estimation of objects based on the CAD models by a stereo vision system

  5. 基于FPGA的双目立体视觉系统

    Binocular Stereo Vision System Based on FPGA

  6. 面向MEMS构件在线检测和三维外型测量的立体视觉系统

    Stereovision System for Online-inspection and 3D Measurement of MEMS Components

  7. 基于体视显微镜(StereoLightMicroscope,SLM)的显微立体视觉已经在微操作领域应用。

    Micro stereovision with a stereo light microscope is applied in the area of micromanipulation .

  8. 本文从人类立体视觉的原理出发,重点讨论在计算机中如何从3D模型获取用于裸眼立体显示视差图像的问题。

    The problem of how to extract parallax images from computer3D models used in stereoscopic display is discussed in this paper .

  9. 本文将近年来兴起的小波理论应用于双目立体视觉技术,提出了一种新立体匹配算法,并将其应用于金属材料断口SEM图像体视匹配,获得了较好的效果。

    This paper proposes a new algorithm for stereo matching which utilizes the wavelet transform theory developed recently .

  10. 并利用双目交汇测量方法得出了双CCD仿人眼颈系统立体视觉测距方程,并进行了误差分析。

    Using binocular intersection measuring method , its solid vision measuring equations are worked out and these error factors are analyzed .

  11. 立体视觉指导下的CMM集成智能检测系统在逆向工程中的应用

    An Integrated Intelligent Inspection System of CMM under Guidance of Stereo Vision in Reverse Engineering

  12. 基于三目立体视觉的工程机器人ROI图像处理技术研究

    Research on ROI Image Processing Technology of Construction Robot Based on Trinocular Stereo Vision

  13. Stewart平台动态位姿立体视觉检测中的图像处理

    Image Processing in Measuring the Pose of the Stewart Platform Based on Stereo Vision

  14. 本文以立体视觉测量原理为基础,利用普通的CCD摄像机为基础测量工具,建立三维测量系统。

    According to the principle of stereo vision , this paper presents a three-dimensional movement measurement system , based on CCD cameras .

  15. SLM显微立体视觉中的双重折射校正算法

    Double refraction correction algorithm in SLM micro stereo vision

  16. 第三章设计了立体视觉系统的硬件结构,在此基础上详细阐述了立体视觉系统的硬件设计,主要包括图像采集部分,图像存储部分,DSP模块部分和逻辑控制部分。

    Chapter 3 describes the hardware structure and all the modules in details , including image sampling and processing , data storage and transmission , DSP and CPLD .

  17. SLM显微立体视觉量化和三维数据重构研究

    Study on the Quantification of Micro Stereovision with a SLM and 3D Data Reconstruction

  18. 提出了用BP神经网络建立双目立体视觉模型的方法,利用此模型进行标定,找出物体的图像坐标与世界坐标之间的映射关系,解决了土粒三维运动轨迹的提取问题。

    Function relation between the image coordinates and the world coordinates of the object with BP neural network were found , then 3-D moving trace was restored by using the trained network .

  19. 提出了一种描述SLM(StereoLightMicroscope)显微立体视觉成像的新模型,使用了新物理量弱视差来提高模型的三维微观定位精度。

    A new model for describing micro-stereovision imaging with stereo-light microscope is proposed . A new physical term , named weak parallax is used to improve 3-D micro-positioning accuracy of the model .

  20. 展馆配备4D影院,让观众在立体视觉享受中与大鲵“亲密接触”。

    The exhibition hall is equipped with4D theaters so that visitors can have the stereo vision and enjoy the close contact with salamanders .

  21. 讨论了用于直升机着陆激光雷达地形测量系统的双目立体视觉方法,并利用双CCD系统实现了对激光器照射到固定目标表面上任意单点的三维空间坐标测量。

    A binocular stereovision technique used in 3-D terrain mapping system of helicopter radar is represented . By means of binocular camera system ( 2-CCD ), the space position measurement of any point illuminated by a He-Ne laser is achieved .

  22. 第二章结合辅助网格技术,提出基于CCD双目立体视觉的曲面测量方法,并阐述该方法的基本测量原理和几个关键技术。

    In Chapter 2 , the surface-measuring method based on the binocular stereo system was put forward to meet the practical requirement of this research , then the measuring principle was elaborated and some key techniques were brought forward as well .

  23. 显微双目立体视觉主要由体视显微镜和CCD图像传感器构成,基于计算机双目立体视觉原理,显微双目立体视觉在显微领域中用于三维微观定位和测量。

    Binocular stereo micro vision ( BSMV ) based on the working principle of binocular computer stereo vision and mainly composed of stereo light microscope ( SLM ) and CCD image sensors is used for three-dimensional positioning and measurement in micro-domain .

  24. 提出了三维测量实验系统硬件及软件解决方案,在MATLAB环境下编制、调试了实验系统软件,建成了基于双目立体视觉技术的三维测量实验研究平台。

    Are studied in the thesis and the hardware and software solutions of the measurement experimental system are proposed as well . In addition , an experimental platform base on binocular stereo vision is established and a set of measuring program is developed on MATLAB architecture .

  25. 用Frisby-Davis2(FD2)试验检测距离立体视觉

    Testing distance stereoacuity with the Frisby-Davis 2 ( FD2 ) test

  26. 本文介绍应用同视机、Titmus立体视觉检图和颜少明的立体视觉图检查4~60岁正常人的结果。

    The binocular vision and stereoacuity of 4-60-year-old normal persons were examined with synoptophore , Titmus stereopsis chart and Yan 's random dot stereogram .

  27. 研究结果用于论文以后的试验、视觉模型的参数标定和数据重构等研究内容。第二部分研究了SLM立体视觉的建模型问题,视觉模型描述了二维图像空间与三维物空间的映射关系。

    Results will server the need of test , parameter calibration and data reconstruction . Second , the modeling problem of micro stereovision with SLM is discussed , and a vision model that describes the projection between 2D image space and 3D object space is derived .

  28. 本文说明了立体视觉的基本原理,探讨了基于OpenGL立体显示驱动以及基于NVIDIA公司开发的显示驱动的视频立体显示技术的基本方法,给出了立体视频系统的结构,并说明了相关原理。

    This paper introduces the principle of stereo vision , and explains the stereoscopic video presentation techniques based on the OpenGL stereoscopic driver and the NVIDIA stereoscopic display driver developed by the NVIDIA Corporation . The structure of the stereoscopic video system and the related principle are given and explained .

  29. 该方法的计算时间小于0.35s,虽然比基于特征匹配的立体视觉检测方法所用的时间长,但可以获得更多的表面点,为不同的末端执行件确定采摘点带来了方便。

    The time was used in computation of this algorithm was less than 0.35s , though the time used by area-based method is longer than that of feature-based method , this algorithm can get more points for conveniently choosing picking points .

  30. 基于双目立体视觉非接触物体测量的研究

    Research on Non-contact Measurement of Object Base on Binocular Stereo Vision