x360 kinect

In the previous blog post, we used Kinect to play with an empty touch. At that time, we used the clnuiplatform driver. Recently, more and more people are turning to the openni driver. So today, we will take some time to change it, so that openni students can also use the following software to play with an empty touch. It is worth noting that after the openni driver is used, the frame rate of CCV can reach 70 +... Of course, there is water in it, but i

; Enter your account password 650) This. width = 650; "Title =" wp_201410020.01_24_08_pro.jpg "style =" height: 261px; width: 436px; float: none; "src =" http://s3.51cto.com/wyfs02/M01/4C/45/wKiom1Q6eK_Ct52qABbG-9lcO3Q418.jpg "width =" 1200 "Height =" 1005 "alt =" wKiom1Q6eK_Ct52qABbG-9lcO3Q418.jpg "/> Microsoft's privacy is still very good. Microsoft has never experienced data loss problems plagued by Hollywood actresses in its public data center operations for nearly 20 years. 650) This

tracking with histograms and articulating blocks [project] Incremental Learning for robust visual tracking [project] Real-time compressive tracking [project] Robust Object Tracking via sparsity-based collaborative model [project] Visual tracking via adaptive structural local sparse appearance model [project] Online discriminative object tracking with local sparse representation [Paper] [Code] Superpixel tracking [project] Learning Hierarchical image representation with sparsity, saliency

to particle filter and related code Questions about particle filter tracking cvcondensation About camshift Algorithm [HQ] opencv and OpenGL programming: about displaying point cloud data-stereo vision source code [HQ] opencv binocular vision Stereo Algorithm Implementation source code sharing vs2008 and xcode [Wiki source code sharing] environment 3D Reconstruction Based on

Openni is a simple and efficient open-source framework developed by Kinect. It is easy to use. Many universities and research institutions choose openni as a development platform instead of a powerful Kinect SDK, here we will introduce several Middleware Based on openni: 1. nite2: Complete gesture control and body control APIs, gesture locating and tracking, and human skeleton tracking ...... Advantages: Lo

brightness (intensity) will greatly decrease with the distance, so the range of ranging is very limited. This method is very effective and cost-effective for close range ( Figure: single-line red laser For the second method, the advantage is that it is easy to use 2D Lidar for transformation. Compared with the first method, the scanning distance is farther under the same laser output power. Of course, due to the need to control extra degrees of freedom, the error may be large, and the scanning

Tags: Kinect framework Recently, due to the need to use image matching algorithms for the Kinect project, I have seen a lot of papers on the internet, and I don't know which ones are suitable for me at the moment, as a result, I think we should test these methods to find a good method that suits me. However, the problem arises. It is unrealistic to experiment with so many algorithms one by one. After care

This article is the rgb-d SLAM V2, completed by Felix Endres and others in 12, is one of the first SLAM systems designed for Kinect-style sensorsOpen source code found on GitHub, engineering configuration and Operation reference http://www.cnblogs.com/voyagee/p/6898278.htmlSystem Flow:The system is divided into front and back. The front end is the visual mileage record. Extracting features from each frame's RGB image, calculating descriptors, RANSAC+I

writing articles when the rigorous and micro-blogging too casual. Blog, too rigorous to write people in the heart is heavy, look at people will be boring. And Weibo, too casual to write people in the production of garbage, see people will feel bored. The light blog is in the interception of the essence of the part, but can not be regarded as official words. Products The Kinect's 60-day 8 million sales rate is recorded in the Guinness Book of Records, which is faster than today's m

system of sci-fi movies has now been realized, and some 4D cinemas, in addition to the traditional 3D visual shock, also according to the plot of the film carefully designed smoke, rain, photoelectric, bubble, smell, scenery, character performance and so on. Compared with the traditional 3D movies, viewers can feel the sense of touch, smell and so on in addition to sight and hearing in the view of the 4D film. At present 4 D film source is more scarce, the audience selection range is limited, a

different Results if the background is changed; A method of detecting and recognising hand gestures using opencv–from This tutorial you can learn I to apply A E Fficient the Detect and recognize the hand gesture based on convexity by detection. This is has a high accuracy to recognize the gestures compared with the well-known method based on detection of hand C Ontour; Hand gesture detection and recognition using OpenCV 2–in This article your can find the code for Hand and Gesture de Tection ba

the Extended m2vtsdatabase (XM2VTSDB): Http://www.ee.surrey.ac.uk/Research/VSSP/xm2vtsdb/The FERET Database (): http:// Www.itl.nist.gov/iad/humanid/feret/The Japanese femalefacial Expression (JAFFE) Database (JAFFE): http://www.mis.atr.co.jp/~mlyons/jaffe.html the M2vts Database (M2VTS): http://www.tele.ucl.ac.be/PROJECTS/ M2vts/m2fdb.html the psychological imagecollection at Stirling (PICS): http://pics.psych.stir.ac.uk/cgi-bin/PICS/New/ pics.cgi the UMIST face Database (UMIST): http://images

This article is from: http://cn.mathworks.com/help/vision/examples/3-d-point-cloud-registration-and-stitching.html 3D Point Cloud Registration and flattening plays an important role in point cloud processing, such as the series of point cloud data that can be used to get Kinect to work together to build a larger range of 3D scenes. This paper applies the ICP algorithm to the registration between point clouds, which can be used to build 3D model of ob

millimeters in front of the device, which is 1 inches to 2 feet. [2.5 cm to 0.6 m, sure enough to make up for the Kinect short-distance, very suitable for sitting in front of the computer operation] coordinate system The system of Leap motion uses the right-hand cartesian coordinates. The returned values are in real-world millimeters [the same as the Kinect's depth data]. The origin point is at the center of the Leap Motion controller. The X-and z-ax

frustrated, the experience of reading a lot of programming books. Microsoft's internship experience has become one of the few highlights of my resume (this cock one no results, two no papers, three no ACM). Here is not to say 1 and 3 (and this topic does not lap), the emphasis on the 2.Since there were no special projects in the group, the small piece I was responsible for was done in advance, and mentor generously threw me a Kinect and a Wi

Disclaimer: All rights reserved. Reprint must indicate source: http://blog.csdn.net/cartzhang/article/details/44020175Recently, the memory images of BMP or Kinect need to be pinch into small GIF images. Look for, a lot of things, do a summary, for later use. First, GIF.hThis method is simple, which is a header file. But I didn't try to succeed. The possible reason is that my BMP images are generated in their own order with GIF. The inconsistency requ

to learn programming and the "screen time" problem. Screen time:creating vs. consuming I think a lot of parents are worried that their children will spend a lot of time on computers, if they want to figure out whether they are "creating" or using computers, tablets, smartphones or even television. Most parents choose to set screen time for their children, such as 15 minutes a day, and some can only play once a week. I am in favor of this, including playing games, watching entertainment video

Work xx years, for Linux is small white ... No need to spray, I was already ashamed.Recent work requires the application of research and development slam, and has to admit that this frontier technology is still mostly in the hands of foreigners. At present, there are Orb-slam, Rtab map slam, Catographer, are all on the Linux platform.The first time to install Ubuntu, I even the source is what do not know, CMake is smattering.Can only take one step at a step.Preparatory work1, Ubuntu-14.04.4-desk

learning methods to do, such as what decision Tree/SVM, you can try deep Learning. However, real time testing is required, and there is not as many times as you need to train the classifier. So slam more emphasis on online learning methods. 6. Advanced Topics The front is the foundation of the slam, only "positioning" and "Build the map" two things. The two things have been done better today. In recent years rgb-d slam[5], svo[6], Kinect fusion[7, et

the sparse or dense extent of the map points. For a simple example, sparse map is calculated by triangulation, with 1000 points in one bedroom enough; but dense map is typically a depth sensor for some active source (depth sensor, such as an ASIC in Intel's RealSense), Assuming that the resolution of each frame of depth sensor is 640x480, and even if there are 2/3 invalid depth, there are still 100,000 3D points, so the sparse map and dense map are usually two less than the order of magnitude.