搜索资源列表
shuangmbd
- 最新实用简单的机器视觉双目标定matlab-latest practical simple machine vision binocular calibration Matlab
stereovisionIT5402
- 立体视觉,双目成像,由左右视角拍摄的两幅图像,重建三维景象,VC编写-stereoscopic camera, stereo imaging, shooting from the perspective around the two images, 3D scene reconstruction, the preparation of VC
Untitled2
- 完成双目标定,利用标定参数校准源图像和目标图像,并计算得到其视差图(The binocular calibration is completed and the calibration parameters are used to calibrate the source image and the target image, and the parallax diagram is calculated.)
119128659StereoSAD实现定位
- 很好的MATLAB程序实现双目立体视觉定位(MATLAB StereoSAD SSDImage = zeros(H, W))
123
- 立体视觉双目标定c++实现版本,效果可以(Stereo vision dual target c++ implementation version, the effect can be very good)
001sifttest
- 双目视觉立体匹配,sift特征匹配,极限约束(Binocular stereo matching, sift feature matching, limit constraints)
Open CV显示、标定、匹配samples
- 基于opencv vs2010实现双目校正匹配 ,官方例子修改(Binocular correction matching based on OpenCV VS2010, official example modification)
stereoMatch
- 通过输入标定参数,可以实现双目相机的立体匹配(The stereo matching of binocular camera can be realized)
000siftDemo
- 双目视觉 图像匹配 sift特征提取与匹配 极线校正(Binocular vision image matching sift feature extraction and matching polar line correction)
用VS+Opencv从双目立体视差图中重建三维点云
- 用VS+Opencv从双目立体视差图中重建三维点云(Using VS+Opencv to reconstruct 3D point clouds from binocular stereoscopic parallax map.)
stereoGlobalEnergyMin
- 双目视觉深度图生成,运用能量最小化的方法生成。(Binocular vision depth map generation is generated by energy minimization.)
binocularDistance-master
- 在visual studio上调用opencv视觉库,用c++编程实现双目摄像头测距(Using c++ to realize binocular range finder on vs)
双目立体视觉源代码
- 双目立体视觉中的深度估计算法,包括匹配代价,优化算法等(Depth estimation algorithm in binocular stereo vision, including matching cost, optimization algorithm and so on.)
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 cameras take left and right view ima
shuangmu
- 双目匹配计算视差,生成深度图。(前提是用自己标定好的摄像头拍的图片,导入内外参数然后进行立体匹配)(Binocular matching calculates parallax and generates depth map.(The premise is to take a picture with your own calibrated camera, import internal and external parameters, and then stereo matching))
人脸识别_Demo_SDK
- 1. 人脸检测的高正确率,误检,漏检很少,支持多脸(max=32)。 平面旋转高达 60 度,并带鼻,嘴定位,及眼镜判断等功能。 2. 支持双目(双摄像头)/多目的 3D 维度识别,增加了人脸的特征集,再次提高识别精度,并有效防止照片通过。 3. 人脸识别的高精度,向用户推荐的识别阀值不仅能适应光线环境的变化,具备满足实际应用的识别正确率。带 眼镜或头发挡住眉毛都行。(但黑粗边眼镜的识别率相对低些,即在较好的识别环境下,黑粗边眼镜仍是 OK 的,只要看得清眼球,就对识别率没有任何影响) 4. 在
DOUBLE_camera
- 该代码可以标定双目摄像头内外参,实现深度测距(The code can calibrate the internal and external parameters of binocular camera to achieve depth ranging)
5
- python实现双目立体匹配SGBM算法(SGBM algorithm for binocular stereo matching based on Python)
基于Python语言的SAD算法进行双目立体匹配
- SAD算法进行双目立体视觉匹配的相关文档及代码(Related documents and codes of sad algorithm for binocular stereo vision matching)
附件05-Demo演示代码
- 双目相机与计算机连接后进行拍照,图片抓取,视频拍摄,人脸检测,Canny边缘检测,BM算法与SGBM算法进行立体匹配测距的实现。(The binocular camera is connected with the computer to take pictures, capture pictures, take videos, detect faces, Canny edge detection, BM algorithm and sgbm algorithm for stereo match