Description: 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 Hough transforms
* Image-based lighting for illuminating scenes and objects with real-world light images
* Content-based image retrieval, covering queries, representation, indexing, search, learning, and more
* Face detection, alignment, and recognition--with new solutions for key challenges
* Perceptual interfaces for integrating vision, speech, and haptic modalities
* Development with the Open Source Computer Vision Library (OpenCV)
* The new SAI framework and patterns for architecting computer vision applications Platform: |
Size: 12192309 |
Author:kankan |
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Description: 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 Hough transforms
* Image-based lighting for illuminating scenes and objects with real-world light images
* Content-based image retrieval, covering queries, representation, indexing, search, learning, and more
* Face detection, alignment, and recognition--with new solutions for key challenges
* Perceptual interfaces for integrating vision, speech, and haptic modalities
* Development with the Open Source Computer Vision Library (OpenCV)
* The new SAI framework and patterns for architecting computer vision applications-Easy to introduce the latest developments in computer vision. Include:* 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 Hough transforms* Image-based lighting for illuminating scenes and objects with real-world light images* Content-based image retrieval, covering queries, representation, indexing, search, learning, and more* Face detection, alignment, and recognition- with new solutions for key challenges* Perceptual interfaces for integrating vision, speech, and haptic modalities* Development with the Open Source Computer Vision Library (OpenCV)* The new SAI framework and patterns for architecting computer vision applications Platform: |
Size: 12191744 |
Author:kankan |
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Description: 此matlab程序，用来检测并定位人脸及人眼。采用的算法是肤色的颜色分隔。附件中的文件包括 eyematch.m, eyematch2.m, face.m, findeye.m,skin.m, k001.JPG-This matlab procedures used to detect and locate human faces and the human eye. Algorithm used in the color of skin are separated. Attachment of documents including eyematch.m, eyematch2.m, face.m, findeye.m, skin.m, k001.JPG and so on Platform: |
Size: 2217984 |
Author:王杰 |
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Description: 摘 要： 提出了一种基于改进 Ha u s d o r f f距离的人脸相似度匹配的方法， 该方法首先将人脸划分为脸型、 双眼、 鼻、 嘴等几个特征点
集， 分别计算各部分的改进 Ha u s d o r f f 距离， 然后进行加权计算相似度。利用该方法， 在 A S M( 主动形状模型) 定位人脸的基础上进
行了人脸检索。 实验表明， 利用人脸相似度计算方法对人脸特征库进行搜索， 达到 了较好的效果。同时结合 A S M 自动人脸检测， 本
方法可以全自动完成人脸匹配， 应用于人脸识别及数字娱乐等领域。-Abstract: This paper presents a distance based on an improved Ha usdorff face similarity matching method, which will first face is divided into face, eyes, nose, mouth, and several other feature point sets, were calculated to improve the various parts of Ha usdorff distance, and then weighted similarity. Using this method, in the ASM (active shape model) positioned on the basis of human face human face retrieval. Experiments show that the use of face similarity calculation method for facial feature database to search, to achieve good results. ASM automatically combined with face detection, this method can be completed fully automatic human face matching, used in face recognition and digital entertainment and other fields. Platform: |
Size: 202752 |
Author:alsocc |
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Description: 人脸识别－仅对静态图片The output of this code is mainly required for feature detection or facial expression recognition purpose.
give the input(name of the image) at the 1st line of the facedetection.m file & run the file.
The face_database folder contain some images on which the code gave favorable output.
-The code will work with the images which don t have much brightness variation on the face.the face must be properly enlighten.
The output of this code is mainly required for feature detection or facial expression recognition purpose.
give the input(name of the image) at the 1st line of the facedetection.m file & run the file.
The face_database folder contain some images on which the code gave favorable output.
Platform: |
Size: 482304 |
Author:djh |
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Description: 都是用matlab写的，复制到txt上了
（1）基于简单背景的人脸监测，针对视频，效果还不错，传的是txt，大家新建一个M文件，复制，然后把视频名与程序中的改成一致就可以了。
（2）对多椭圆的检测，非实际图像，无噪声，就是简单的椭圆，使用同上。-Are written with matlab, copy to the txt on the (1) human face based on a simple background monitoring, for video, the results were good, communication is the txt, you create a new M file, copy, and then the video name and program The change in line on it. (2) the detection of multi-elliptical, non-real image, no noise, that is a simple oval, use ibid. Platform: |
Size: 2048 |
Author:sss |
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Description: 这是一个使用了Gabor特征提取和人工智能的人脸检测系统源代码
使用步骤：
1. 拷贝所有文件到MATLAB工作目录下(确认已经安装了图像处理工具箱和人工智能工具箱)
2. 找到"main.m"文件
3. 命令行中运行它
4. 点击"Train Network"，等待程序训练好样本
5. 点击"Test on Photos"，选择一个.jpg图片，识别。
6. 等待程序检测出人脸区域
createffnn.m, drawrec.m, gabor.m, im2vec.m, imscan.m, loadimages.m, main.m, template1.png, template2.png, trainnet.m-This is a use of the Gabor feature extraction and artificial intelligence source code of face detection system using the steps: 1. Copy all files to the MATLAB working directory (sure you have installed the Image Processing Toolbox, and artificial intelligence toolbox) 2. Found " main.m " file 3. the command line, run it 4. Click the" Train Network " , waiting for a good sample of the training program 5. Click the" Test on Photos " , select a. jpg image recognition. 6. Wait for the program detects the face region createffnn.m, drawrec.m, gabor.m, im2vec.m, imscan.m, loadimages.m, main.m, template1.png, template2.png, trainnet.m Platform: |
Size: 140288 |
Author:郑碧波 |
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Description: 一个用神经网络进行人脸检测的程序,解压后运行main.m文件，之后对神经网络进行训练，需要一定的时间，耐心等待，最大400个周期，然后就可以对灰度人脸图像进行检测了。
-A neural network with a face detection program, run the main.m file after decompression, the neural network after training, take time, patience, maximum 400 cycles, and then you can on the gray face image detected. Platform: |
Size: 145408 |
Author:kalman_zero |
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Description: 人脸检测，这个是个好东西啊。可惜我不会，真遗憾。-Face detection, this is a good thing. Unfortunately, I will not, I' m sorry. Platform: |
Size: 3072 |
Author:苏腾腾 |
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Description: 一个清华大学使用的人脸检测程序，可以识别人脸所在位置并进行标注，其中的人脸库可以替换为其他的人脸库-Face detection process uses a Tsinghua University, can recognize faces and location tagging, face which can be replaced with other people face Platform: |
Size: 2048 |
Author:方方 |
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Description: 使用VJ算法识别人脸，并使用KLT算法进行特征识别并追踪(Face detection using VJ algorithm, and track it using KLT algorithm) Platform: |
Size: 1024 |
Author:Kirsch |
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Search - face detection .m