Add a user recommendation column (search for a sharp paper by hard work)

Have you read a paper named "real-time human pose recognition in parts from single depth image? It doesn't matter if you haven't read it. After all, there are too many papers in the world every day. Ask a simple question. Do you know about Kinect? (If you have no idea that Kinect is a magic horse, it doesn't matter. You have a picture to tell the truth)

What can I do with this? This can create a horrible, real, and virtual 3D world that interacts with the real world (want to know more? Give you two URLs: (1) http://www.xbox.com/en-US/kinect (2) http://research.microsoft.com/en-us/um/redmond/projects/kinectsdk ).

So many things are involved. Is this actually related to the essay that was mentioned at the beginning? Well, let's get down to the truth. There are so many people in the world who have the idea described in this paper, so the world has the idea of "Kinect, this is because the authors of the later paper were the creators of Kinect. This articleArticleThis section briefly describes the core recognition principles of Kinect. If you want to copy a powerful, this article can be used as the technical guidance document in the case (I don't know if this is the case within Lenovo ).

Since this paper is so powerful, where can I find it? At this time, I think of a strong professional academic search (http://academic.research.microsoft.com /? Pv = 1)

Enter the name of the paper I tried to remember, "real-time human pose recognition in parts from single depth image". However, the result was not found, and it was quite painful. Fortunately, I know the source of this paper, but you don't necessarily know it, and there are no search results. enthusiastic, I hope you can see this sharp article. I would like to recommend this article, so I want to add a recommendation bar for academic search. I copy the link of this article into the column and add the label "Kinect" so that when users search for the Kinect here, you can find this sharp article. If the number of clicks is really large enough, you can consider giving me a proper reward.

There are at least two advantages of adding a user recommendation column:

(1) It can effectively add a database (if the index database does not contain this article) and add some useful labels (after all, users know what users need ).

(2) If the recommendation column is widely used by users, there may be a very high proportion of classic articles in the small-scale database generated in the recommendation column, this will make users more active and efficient in the ocean of information explosion