本文就以上诸方面对三维计算机视觉的研究进展进行评述，并给出若干今后研究的建议。
This paper reviews some advances on the research of 3-d computer vision in these aspects. Comments are given for further research efforts.
简要地介绍了目前出现的三维计算机视觉技术和方法，综述了该技术在焊接中的典型应用，并在此基础上提出了目前存在的问题和未来的发展趋势。
The 3d computer vision techniques appearing now and its typical application in welding were introduced in brief, the problems exiting and the trend in the future were presented.
视觉思维使格兰德能够在她的想象中构建整个系统，这与计算机程序的工作原理类似，因为它可以产生三维设计模拟。
Visual thinking has enabled Grand to build entire systems in her imagination, which works similarly to a computer program because it can produce three-dimensional design simulations.
物体表面三维形状恢复是计算机视觉的一个重要研究内容。
D shape retrieval of object surface is an important problem in computer vision.
三维物体识别是计算机视觉研究的一项重要课题。
The three-dimensional object recognition is an important topic in computer vision research.
三维重建是计算机视觉、模式识别以及可视化技术等领域中的经典研究主题。
Three-dimension reconstruction is a typical research point in many fields such as calculator vision, mode identify and video technique.
本研究分两部分，第一部分以计算机立体视觉为模型建立脊柱三维运动测量系统。
In the first part, a measuring system of three-dimensional motions of spine was established with computer stereovision model.
从明暗恢复形状(SFS)是计算机视觉中三维形状恢复问题的关键技术之一。
Shape from Shading (SFS) is one of crucial techniques in shape recovery in computer vision.
兴趣点检测是许多计算机视觉应用的基础，如：摄像机定标、三维重建、图像匹配、视频检索、运动估计等。
The detection of interest points is the basis of kinds of computer vision applications, such as: camera calibration, 3d reconstruction, image matching, video retrieval, motion estimation, etc.
介绍了基于计算机视觉三维激光扫描测量系统。
A 3d laser scanning measure system based on computer vision was introduced.
本文提出一种全新的计算机立体视觉新方法—光谱法三维成象与再现。
A new 3d computer vision approach, 3d spectrum imaging and reconstruction system, is proposed in this paper.
标定过程的复杂性制约着计算机视觉技术的应用，三维激光扫描系统也不例外。
Most applications of computer vision are limited by the complexity of calibration process and 3d vision measurement system is not an exception.
基于计算机视觉的无接触三维测量原理和光的折射定律，提出一种多介质下空间目标视觉测量方法。
Based on non-contact three-dimensional measuring principle of computer vision and light refraction principle, a new theoretical method of visual measurement in multi-medium was proposed.
图像测量系统标定是计算机视觉获取三维信息的前提和基础。
The calibration of image measurement system is the basis and prerequisite of acquiring 3d information adopting computer vision technology.
确定被视察物体和摄像机之间的三维相对运动是计算机视觉领域的一个重要课题。
Determining the 3-d relative motion between the camera and the viewed object is an important topic in the field of computer vision.
本文主要以计算机视觉原理以及数字图像处理理论和数字摄影测量学理论为基础，对影像的三维重建中的相关方法以及目标多视点、多尺度建模进行了研究。
Some methods about three-dimensional reconstruction of image modeling of targets are studied in this paper based on theories of computer vision, digital image processing and digital photogrammetry.
该算法为解决计算机视觉的测量、定位、三维重建等问题，提供一种全新的思路。
The algorithm to solve the measurement of computer vision, positioning, three-dimensional reconstruction, with a brand new idea.
近年来，使用多个相机来获取场景的三维结构已经成为计算机视觉领域一个很重要的研究课题。
Recently, using multiple cameras to obtain the 3D structure has becoming a popular subject in the computer vision research community.
采用了基于计算机视觉的光学非接触式测量方法，得到了自由曲面的三维几何数据。
The article describes a non-contact measuring method based on computer vision to gain 3D-geometric data.
本文讨论了一种基于计算机视觉原理的三维激光扫描测量系统的原理，组成，工作过程，精度分析和在工程实际中的应用。
The principle, component, components, work process, accuracy analysis and application in the fulfillment of the 3D laser scanning system based on machine vision is discussed in the paper.
本文运用计算机视觉测量技术，将结构光法测得的反映物体轮廓形状的二维图像信息进行三维重构。
This paper studies 3d object reconstruction using 2d image of object contours got by structure light method and based on the computer vision technic.
结构光三维测量系统是利用计算机视觉原理对物体进行三维测量和重构，以获取物体的三维模型。
Structured light 3-d measuring system adopts computer vision theory to measure and reconstruct object in order to obtain the 3-d model of object.
本论文集中研究了计算机视觉中恢复物体深度信息的问题，即如何从二维的图像中获得三维的深度信息。
This paper focuses on the issue of recovering the depth information, that is how to get three-dimensional depth information from two-dimensional images.
结构光三维测量系统是利用计算机视觉原理对物体进行三维测量和重构，以获取物体的三维模型。
Construction light 3-d measuring system adopts computer vision theory to measure and reconstruct object in order to obtain the 3-d model of object.
由多幅图像获取物体的三维几何信息是当前计算机视觉领域中的重要研究课题。
Acquiring object's 3-d geometric information from multiple images is one important research topic in the domain of computer vision.
最佳观测方位问题是计算机主动视觉研究的重要内容，广泛应用于计算机目标识别、摄影测量、三维场景重建等领域。
Next best view problem has become one of main influence factors in the vision research fields such as target recognition, stereo matching, visual tracking and scene reconstruction, etc.
在计算机视觉中，二维计算机坐标和三维物体空间坐标的关系可通过摄像机模型来建立。
With computer visual technology, the relationship between 2-dimensional computer coordinate and 3-dimensional space coordinate system is built by camera model.
计算机视觉三维重建技术的研究是计算机视觉学科的一个重要领域，有助于实现非接触三维测量及快速建模。
The 3-d reconstruction technology of computer vision is a significant field of computer vision, and what's more, it can help realizing 3-d untouched measurement and fast reconstruction.
第三章介绍了计算机视觉检测技术的基本原理，总结了几种重要的计算机视觉三维检测技术的方法。
In chapter 3, the basic principle of the technology of computer vision inspection is introduced and several important methods of computer vision 3-d inspection are summarized.
计算机立体视觉研究利用二维投影图像恢复三维景物世界的问题，是计算机视觉技术的主要任务之一。
Computer stereo vision mainly studies the issues of reconstruction of the 3d world from the 2d images, and is one of the main tasks of computer vision.
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