TSAI algorithm is adopted to calibrate a stereo vision system.
采用TSAI算法对立体视觉系统进行校准。
The outer image system USES the binocular stereo vision inspection technique.
外部图像系统应用了双目立体视觉检测技术。
This paper analyzes the monocular stereo vision algorithm based on bifocal imaging.
对单眼立体视觉的双焦成像算法进行了分析。
The most important is stereo vision, strip lighting based phase-shift and gray-code method.
其中最重要的方法有立体视觉，条形光相位平移法和条形光格雷编码法。
Firstly, analyzed the rationale and constraints used in a binocular parallel stereo vision system.
首先以双目平行立体视觉系统为例，分析了立体匹配基本原理及常用的约束条件。
The stereo vision is an effective way for 3D profile measurement, and stereo matching is a key step.
双目视觉是一种有效获取三维轮廓信息的方法，其中立体匹配是关键的一个步骤。
The displacement of the micro actuator is measured by using the stereo vision micromanipulation systems.
显微立体成像微操作系统上测试了二维微执行器的位移性能。
The precision of single camera stereo vision measurement based on the principle and structure is analysed.
从原理和结构方面分析了单摄像机立体视觉测量的结构精度。
An automatic measuring system of seedling perpendicularity based on binocular stereo vision was discussed.
介绍了基于双目立体视觉的秧苗直立度自动测定硬件系统和软件系统组成。
This paper proposes a methodology for the system configuration and design on the rover stereo vision system.
针对这一问题，本文提出了月球车立体视觉的系统结构和设计方法。
The authors proposed a stereo vision system for obtaining information of the target about 3-d space distance.
给出了一种用于目标空间三维距离、方位信息探测的立体视觉系统实现方法。
So it can be used in stereo vision system which is in demand of high robustness for stereo matching algorithm.
可以应用于对匹配算法鲁棒性要求比较高的立体视觉系统中。
A new method for three - dimensional coordination transform based on stereo vision in micro - assembly system.
提出了基于立体视觉的微装配系统中微器件三维坐标变换的方法。
The paper discussed the key technology of binocular stereo vision in detail, which mainly is camera calibration.
文章对双目立体视觉中的关键技术进行了详细的讨论，主要是摄像头的标定。
Perception: Visual Scene Analysis, Object Recognition, Auditory Scene Analysis, Depth Perception, Stereo Vision, Stereograms.
知觉：视觉景象分析、物体辨识、听觉景象分析、深度知觉、立体视觉、立体图。
In this paper, we study and discuss the two aspects of the visual servo system control structure and stereo vision calibration.
本文主要从视觉伺服系统的控制结构和立体视觉标定这两方面进行研究和探讨。
Finally the workpiece's 3d coordinates in the basal coordinate of the robot are calculated by image processing and stereo vision.
最后通过图像处理和立体视觉的方法来计算出平面工件在机器人基坐标系中的三维信息。
The system consists of stereo vision module, Path planning module, Teleoperation module, PC control module and Communication module.
本系统由双目立体视觉模块、路径规划模块、遥操作模块、上位机控制模块以及通讯模块五部分组成。
In Chapter II, the basic concepts and methods of stereo vision and its application in the navigation and localization are introduced.
第二章介绍了立体视觉的基本概念、方法以及在导航与定位中的应用。
The major difficulty in stereo vision is the correspondence problem that requires matching features between two or more stereo images.
立体视觉中最大的困难是对应点的寻找，即需要匹配二幅或更多幅立体图像对之间的特征。
This thesis aims at the design and implementation of the stereo vision system as well as path planning based on the vision information.
因此本论文旨在研究陆地自主车的立体视觉系统设计和实现，以及在视觉处理获得的信息基础上进行路径规划。
The paper proposes a stereo vision coordinate measurement system based on optical probe with the function of measuring and calibrating.
提出了一种基于测量与校准功能合一的光学测棒的立体视觉坐标测量系统。
Because it need no characteristic matching in the process of orientation, it is more robust than classical algorithms of stereo vision.
由于在定位过程中不需要特征匹配，因此比通常的立体视觉算法更鲁棒。
Results proved that application of stereo vision technology on measuring distribution of tree could meet precision need in experimental conditions.
结果表明，在实验条件下，应用立体视觉测定林木个体分布格局可以达到精度要求。
The general measuring robot system based on stereo vision is one of the significant engineering fields of the vision measuring technology applications.
基于立体视觉的通用测量机器人是视觉检测技术在工程应用中一个非常有意义的研究领域。
This algorithm can effectively overcome some essential limitations of binocular stereo vision methods and assure the matching results precise and reliable.
该方法能够有效地克服双目立体视觉方法的某些本质局限性，确保匹配结果精确可靠。
This algorithm can effectively overcome some essential limitations of binocular stereo vision methods and assure the matching results precise and reliable.
该方法能够有效地克服双目立体视觉方法的某些本质局限性，确保匹配结果精确可靠。
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