computer vision book

image, such as the actual distance is a Euclidean distance eye_distance, the reference distance eye_reference is the output width outputwidth minus the left eye to the left edge of 0.3 Outputwidth, minus the right eye to the right edge of the 0.3 outputwidth. Because the final face recognition, need to output grayscale, so, the final return value is grayscale and histogram equalization of the picture Image Rotation APIHere the picture is rotated using the OPENCV function, Warpaff

In-camera parameter matrix in computer vision and graphics "turn"In computer vision and graphics, there is the concept of "in-camera parameter matrix", the meaning is roughly the same, but in the actual use of the process, the two matrices are very far apart. In augmented reality, in order to make

://www.stat.ucla.edu /~ Sczhu/EuropeAndrew zisserman, Oxford, UKAndrew Fitzgibbon, Microsoft Research Cambridge, UKRobert to Cipolla, Cambridge, UKJean Ponce, INRIA, FranceCordelia Schmid, INRIA, FranceBill triggs, Lear, FranceYair Weiss, Hebrew University, IsraelAnat Levin, Hebrew University, IsraelMichal Irani, Weizmann, IsraelLuc Van Gool, University of il-ven/ETH Zurich, CzechicChinaHarry Shum, msraXiaoou Tang, msra/CUHKJian sun, msraSteve Lin, msraYasuyuki Matsushita, msraZhouchen Lin, msra

Morphological filtering of "computer vision"Label (Space delimited): "Image processing" "Signal processing"Copyright NOTICE: This article for Bo Master original article, reprint please indicate source http://blog.csdn.net/lg1259156776/.Note: This paper mainly wants to find out the application of morphological filtering in image processing and signal processing, and it is very intuitive to obtain the effect

This is a Bayesian model of computer Vision small project. I hope you will know how the general Computer Vision Project is operated through this simple project.I'm going to start with the topic here. I want to be interested in the children's shoes spend a week thinking and implementation with Python. A week later I'm g

Working with images using OpenCV3The following is all about image processing, where you need to modify the image, such as using an artistic filter, some parts of the extrapolation (extrapolate), splitting, pasting, or other required operations.Conversion of different color spacesThere are hundreds of ways to convert between different color spaces in OpenCV. Currently, there are three commonly used color spaces in computer

I. ImageNet Large scale Visual Recognition competition (ILSVRC) Imagenet data set is one of the most widely used data sets in the field of deep learning image, and the research work on image classification, localization and detection is mainly based on this data set. The imagenet dataset has more than 14 million images covering more than 20,000 categories, of which more than millions of images have explicit category labels and the location of objects in the image. Imagenet Data Set documentatio

Document directory The GPU acceleration replacement routine provided by gpucv is compatible with opencv. Image processing application programmers do not need to care about the graphic context or hardware, and sample applications are provided by the program. Programmers can automatically manage colors, textures, and advanced OpenGL extensions. Its framework transparently manages hardware functions, data synchronization, low-level glsl and Cuda solutions, fast dynamic testing, and the most effe

1. opencv (a library required for computer vision, which I personally think is very powerful) Http://opencv.willowgarage.com/wiki/ 2. Open Source vision recommended on the cvpaper HomepageAlgorithmLibrary, the most comprehensive, and very new. We strongly recommend that you check it out. Http://www.cvpapers.com/rr.html 3. The image processing and

("Background", mask);Charc = (Char) Waitkey ( -);if(c = = -) Break; }return 0; }ResourcesMixed Gaussian background model and OPENCV implementationThe principle of mixed Gaussian algorithm in OpenCVreprint Please indicate the author Jason Ding and its provenanceGitcafe Blog Home page (http://jasonding1354.gitcafe.io/)GitHub Blog Home page (http://jasonding1354.github.io/)CSDN Blog (http://blog.csdn.net/jasonding1354)Jane Book homepage (http://www.jian

://mmlab.ie.cuhk.edu.hk/projects/srcnn.htmlCode:http://mmlab.ie.cuhk.edu.hk/projects/srcnn.htmlpeople(1) Ross B. girshick-the Author of Rcnn, FAST-RCNNwebsite:http://www.cs.berkeley.edu/~rbg/#girshick2014rcnnGithub:https://github.com/rbgirshick(2) shaoqing ren-the Author of FASTER-RCNN, spp-netwebsite:http://home.ustc.edu.cn/~sqren/Github:https://github.com/shaoqingren(3) Georg nebehay-the Author of CMTWebsite:http://www.gnebehay.comGithub:https://github.com/gnebehay(4) Jianchao yang-the Author