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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.
52891448matlabCV
- computer vision toolbox used in 3D constration
SIFT
- SIFT匹配（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，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。-Matching SIFT (Scale invariant feature transform, Scale invariant feature transform) is a co
pinpu_sanwei
- matlab频谱三维图，时间频率幅值。频谱分析三维图，计算机绘制的三维频谱以频率为横坐标，以振幅为纵坐标，以时间为斜轴，在视觉上是一种立体频谱。-Matlab three dimensional spectrum diagram, time frequency amplitude. Spectrum analysis of three-dimensional map, 3D computer generated by frequency spectrum as the abscissa, the
DecisionForest_v3.1
- [1] Quan Wang, Yan Ou, A. Agung Julius, Kim L. Boyer and Min Jun Kim, Tracking Tetrahymena Pyriformis Cells using Decision Trees , 2012 21st International Conference on Pattern Recognition (ICPR), Pages 1843-1847, 11-15 Nov. 2012. [2] Q
Zg
- Closely related to image processing are computer graphics and computer vision. In computer graphics, images are manually made physical models of objects, environments, and lighting, instead of being acquired (via imaging devices such as cameras) natu
binocularvision
- 使用两台相机进行目标物的三维重构，适用于双目视觉三维重构研究的人员阅读。-Using two cameras to reconstruct the object s 3D reconstruction, which is suitable for the study of 3D reconstruction of binocular vision.
StereoVisionPopencv-Pmfc
- 在计算机视觉中，三维重建是指根据单视图或者多视图的图像重建三维信息的过程，而多视图的三维重建(类似人的双目定位)相对比较容易， 因此通常采用该方法事项三维重建。-In computer vision, 3D reconstruction is the process of reconstructing 3D information single view or multi view images, and the 3D reconstruction of multi view is relat
Multi-Target-Tracking
- Most of my current work focuses on tracking pedestrians mobile platforms. The idea is to equip robots or cars with vision systems that can oversee the traffic situation around the car and that can give an early warning for dangerous situations. The s
surf
- SURF意指 加速的具有鲁棒性的特征，由Bay在2006年首次提出，这项技术可以应用于计算机视觉的物体识别以及3D重构中。SURF算子由SIFT算子改进而来，一般来说，标准的SURF算子比SIFT算子快好几倍，并且在多幅图片下具有更好的鲁棒性。SURF最大的特征在于采用了harr特征以及积分图像integral image的概念，这大大加快了程序的运行时间。-SURF (Speeded Up Robust Feature) is a robust local feature detector,
fuikao_v84
- 非常适合计算机视觉方面的研究使用,独立成分分析算法降低原始数据噪声，有CDF三角函数曲线/三维曲线图。- Very suitable for the study using computer vision, Independent component analysis algorithm reduces the raw data noise, There CDF trigonometric curve/3D graphs.
SURF
- 该算法可以应用于计算机视觉的物体识别以及3D重构中。-The algorithm can be applied to object recognition in computer vision and 3D Reconstruction.
Camera_Logic
- 双目视觉成像，双目视觉摄像头，3D摄像头对应的FPGA图像采集逻辑程序。1> 适用于：单目和多目视觉系统。2> 附图为双摄像头系统，应用了两条图像控制流水，源码对应图中红色的逻辑块，本人已实测代码为OK。-Imaging binocular vision, binocular vision camera, 3D camera image acquisition corresponding FPGA logic program. Applies to: monocular vision
baoyun
- 应用小区域方差对比，程序简单，非常适合计算机视觉方面的研究使用,有CDF三角函数曲线/三维曲线图。- Application of small area variance comparison, simple procedures, Very suitable for the study using computer vision, There CDF trigonometric curve/3D graphs.
Reconstuction3d
- OpenCV+OpenGL 双目立体视觉三维重建代码以及文档使用opencv进行立体匹配获取视差图，三角剖分使用opengl进行纹理贴图-OpenCV+OpenGL binocular stereo vision 3D reconstruction code and documents using OpenCV stereo matching to obtain disparity map, triangulation using opengl for texture mapping