搜索资源列表
Emerging.Topics.in.Computer.Vision
- 深入浅出介绍计算机视觉的最新动态。内容包括: * Camera calibration using 3D objects, 2D planes, 1D lines, and self-calibration * Extracting camera motion and scene structure from image sequences * Robust regression for model fitting using M-estimators, RANSAC, and
sanjiaopoufen
- 在VS2008和opencv下,对2D/3D点(云)数据实现三角剖分,运算速度快,实时性好,计算精度高,并对三角剖分进行了优化,可以处理复杂点集的三角剖分,可以用于人脸识别的工作-In the VS2008 and opencv, the pairs of 2D/3D points (cloud) data to achieve triangulation, calculation speed, real-time performance is good, high precision, and
ObstacleDetection
- 基于双目视觉的障碍物高度检测,用于变电站机器人身上,需使用加拿大pointgray公司的bumblebee2摄像头-pointgray bumblebee2 Binocular Stereovision Obstacle Detection
scientific-computing-with-python
- 本书介绍如何用Python开发科学计算的应用程序,除了介绍数值计算之外,还着重介绍如何制作交互式的2D、3D图像,如何设计精巧的程序界面,如 何与C语言编写的高速计算程序结合,如何编写声音、图像处理算法等内容。书中涉及的Python扩展库包括NumPy、SciPy、SymPy、 matplotlib、Traits、TraitsUI、Chaco、TVTK、Mayavi、VPython、OpenCV等,涉及的应用领域包括数值 运算、符号运算、二维图表、三维数据可视化、三维动画演示、图像处理以及界面设
sift_ex3
- sift算子在图像匹配与图像拼接三维重建中都有重要地位,这个程序没有使用opencv,原作者很不容易写出来的。在调试中会有少量问题,稍加调试就可调通 -sift operator in image matching and 3D reconstruction image mosaic has an important position, this program does not use opencv, the original author is not easy to write out.
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
vdgrayscale
- 配置环境VS2010+opencn2.4.9 用于编辑V+D(2D加深度)格式3D图像中的深度信息。通过调整深度灰阶分布来达到优化立体感、层次感的目的-verified in VS2010+opencv 2.4.9. Use this program to adjust the depth information in a V+D image,which is proposed as Philips WoWvx
fvision2010_0.1.1
- 基于OpenCV构建的图像处理和3D视觉库。-fvision is an image processing and 3D vision library built upon OpenCV 1.0.
Image-2D-to-3D
- 图像2D转3D,需要VS2015及opencv支持。可以实现2d图像转3d图像的功能-Image 2D to 3D, requires VS2015 and opencv support. 2d images can be achieved 3d image function
StereoVision-master
- 包含双目标定,双目匹配以及三维重建。使用opencv库(It includes binocular calibration, binocular matching and 3D reconstruction. Using the opencv Library)