搜索资源列表
CCD
- CCD双目立体视觉测量系统的理论研究.一篇很好的理论文章，对初学者有一定的帮助
CCD
- CCD双目立体视觉测量系统的理论研究.一篇很好的理论文章，对初学者有一定的帮助-CCD binocular stereo vision measurement system theoretical research. A very good theoretical articles, for beginners have some help
TheoreticresearchondoubleCCDstereoscopicmeasuremen
- 利用几何成像原理建立起CCD 双目立体视觉测量系统的数学模型,从提高系统测 量精度出发,在理论上重点对系统结构参数、图像识别误差与系统测量精度的关系进行了深入的分析和探讨,并通过实验对结论进行了验证。研究内容对实际建立该测量系统具有很强的指导作用。-Established the principle of the use of CCD imaging geometry binocular stereo vision measure
two-eyes2
- 非常好的双目论文资料2，非常宝贵，《基于双目立体视觉的安全车距测量技术研究》-2 very good information on paper eyes, very valuable, " based on binocular stereo vision safety distance between vehicles, measurement technique,"
Stereo_distance1
- HALCON软件进行色标的识别，并通过双目立体视觉测量两色标之间的距离-HALCON software for color patch recognition, and through binocular stereo vision measurement distance between two color
shuangmushijiao
- 利用双目立体视觉的原理对行驶的车辆进行车距测量，经过实践比较测量的距离和实际的距离误差在10 以内。-The use of the principle of binocular stereo vision car vehicle traveling distance measurement, comparing the measured distance through practice and practical distance e
3DMachineVision
- 详细介绍Haclon软件平台的双目立体视觉测量方法，包括坐标转化以及函数使用方法-Describe the measure method of binocular stereo vision about Halcon software platform ,including coordinate transform and how to use the function
detect-distance
- 双目视觉，可直接用于基于双目视觉的目标距离测量，包含了立体匹配的过程。可直接运行。-Binocular vision, can be directly used for target distance measurement based on binocular vision, including the process of stereo matching. Can run directly.
双目立体标定与测量
- 双目立体视觉相关的代码，内含标定重建过程(Stereo Vision for 3D reconstruction. The coding includes camera calibrate etc.)
zhongyao
- 双目立体匹配一直是双目视觉的研究热点，双目相机拍摄同一场景的左、右两幅视点图像，运用立体匹配匹配算法获取视差图，进而获取深度图。而深度图的应用范围非常广泛，由于其能够记录场景中物体距离摄像机的距离，可以用以测量、三维重建、以及虚拟视点的合成等(Binocular stereo matching has always been a research hotspot in binocular vision. Binocular camera
双目立体视觉测距
- C#,双目测距,检测空间中指定的一个点的距离. 通过对两幅图像视差的计算，直接对前方景物（图像所拍摄到的范围）进行距离测量.(C# binocular distance measurement is used to detect the distance of a specified point in the space. By calculating the parallax of two images, the distance o