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Captcha3D
- 3D验证码，效果不错哦，下载了看看能开阔视野-3D verification code, the effect is good, oh, can download a wide field of vision to see
SCU_S082167
- 《基于计算机视觉的普适性三维重建方法研究》源代码，实现了一种将二维图像重建成三维场景的方法。-Source code of <General Sense Three-Dimension Reconstruction Research Based on Computer Vision>, a technique which can convert 2D images into 3D sence.
3DvisionKinectProcessingandArduino
- 欢迎视觉革命。在微软的Kinec带领下，您现在可以使用三维计算机视觉技术建立数字化三维模型，人和物体，你可以用手势和语音指令操作。这手势指导，提供所有的技术和概念的信息，你需要为Kinect建立出色应用，使用的加工编程语言和Arduino的微控制器。 无论你是学生，业余爱好者，制造商，玩家，或硬件黑客，Ｔｈｉｎｇｓ Ｓｅｅ让你与几个Kinect的项目运行，给予你用这神奇的三维计算机视觉技术建立你自己的玩意和创意项目的技能和经验。解锁你的能力，建立与Kinect的交互式应用程序。
EStereo
- EStereo is a computer vision C++ library for real-time disparity estimation. It computes dense stereo matching from 2 or 3 images as well as 3D scene reconstruction. The library also comes with a GUI-based application (StereoPlus). -ESTEREO real-t
sift
- SIFT特征（Scale-invariant feature transform，尺度不变特征转换)是一种电脑视觉的算法用来侦测与描述影像中的局部性特征，它在空间尺度中寻找极值点，并提取出其位置、尺度、旋转不变量，此算法由 David Lowe 在1999年所发表，2004年完善总结。其应用范围包含物体辨识、机器人地图感知与导航、影像缝合、3D模型建立、手势辨识、影像追踪和动作比对。-Scale-invariant feature transform (or SIFT) is an algori
samples
- SURF_DETECTOR SURF (Speeded Up Robust Feature) is a robust image detector and descr iptor, first presented by Herbert Bay et al. in 2006, that can be used in computer vision tasks like object recognition or 3D reconstruction. It is partly inspired
stereo-disparity
- matlab实现图像匹配的视差图，可以用于3D重建系统，机器视觉等领域。-Matlab image matching parallax figure, and can be used in 3 D reconstruction system, machine vision, etc
computer-vision_draft
- 最新重要计算机视觉书籍,其中包括图像处理，特征检测与匹配，分割，三维重建，识别等知识，是目前计算机视觉非常经典的书籍，是从事这个方向科研工作者必备的书籍。-The seeds for this book were first planted in 2001 when Steve Seitz at the University ofWashington invited me to co-teach a course called “Computer Vision for Computer Gr
MovingObjectSegmentation
- It is one of the most challenging problems in computer vision how to segment moving objects accurately. In this paper, we present a novel approach to segment moving objects with edge information and temporal information using 3D Graph cuts model
LinearCalib
- 2D到3D的相机标定程序，已经过仔细测试确保可使，可供学习计算机视觉和模式识别的参考，内附有测试数据和详细的程序注释-2D to 3D camera calibration procedures have been carefully tested to ensure that enables, for learning computer vision and pattern recognition reference, enclosing a detailed procedure for te
SIFT
- 本程序实现了sift特征提取，该特征提取是为匹配做基础的，用于后续的三维重建等机器视觉方面的研究-The realization of SIFT feature extraction, the feature extraction is the base for matching for 3D reconstruction, such as machine vision research
povwin_s
- 光线追踪引擎程序代码，单线程，渲染逼真的3d场景影像-The raytracing engine code single-threaded。The Persistence of Vision Raytracer is a high-quality, totally free tool for creating stunning three-dimensional graphics. It is available in official versions for Windows, Mac OS/
ee
- 基于双目立体视觉的三维重建，关于三维重构技术的论文-Based on the three-dimensional reconstruction of the binocular stereo vision, 3D reconstruction of papers
ww
- 基于合成视觉的3D重建技术研究.三维重建的论文，可以参考借鉴-Synthetic vision-based 3D reconstruction techniques. 3D reconstruction of the papers, you can reference for
117143191sift-1.1.1_20070330_win
- 在计算机视觉的领域中，图像匹配是很多问题最重要的一个方面，包括物体和场景识别，通过多幅图像进行3D重构，立体匹配和运动跟踪。SIFT特征对于图像的旋转和尺度变化具有不变性，对于光照改变和摄像机角度变化具有部分的不变性-In the field of computer vision, image matching is one of the most important aspects of the many problems, including the identification of ob
dual-cameras-based-on-matching
- 能够实现在计算机平台上运行左右两个图像传感器的同步采集，用于机器人立体视觉以及3D片源的获取-Can be achieved in a computer running on a platform about two image sensors synchronous acquisition for robot stereo vision and 3D sources of access
cvCalibaa
- 三维视觉(双目视觉,定标,三维重建等)下的基于opencv的摄像机标定源代码- Opencv camera calibration based on a three-dimensional visual source code (binocular vision, calibration, 3D reconstruction, etc.) under
paradox_2.3a
- 这是个小小的demo程序，用OpenGL实现了设想的全自由3D空间和4D空间。 -This is a small demo program, OpenGL realize the vision of the whole free-space 3D and 4D space.
finknudem-(2)
- Scale-invariant feature transform (or SIFT) is an algorithm in computer vision to detect and describe local features in images. The algorithm was published by David Lowe in 1999.[1] Applications include object recognition, robotic mapping and na
opencvtest
- 由双目立体视觉系统匹配到的点来计算物体的真实坐标，对三维物体进行三维重建。-The real coordinate by binocular stereo vision system matching to the point to calculate the object, 3D reconstruction of 3D objects.