1. Surface detection and creating planes скачать в хорошем качестве

1. Surface detection and creating planes

On your screen, you should see an example of an app built using AR code. This feed is what users see displayed on their smartphone screens as they operate the app. What you see here is AR code working with a smartphone, to find surfaces, and detect the planes that we discussed in module two. That mesh point and polygon is the net, that AR code cast a node to recognize the feature points and use of planes, it needs to function properly. Once AR code finds a big enough plane, the system can begin placing objects in space. As you can see, even though the environment is relatively plain and in low light, the app is still able to map the room successfully. In this case, AR code is able to detect objects in sub-optimal light, but it's important to note that there is a limit to how low the light can be for the experience to function. There are a few other limitations to consider which we'll discuss next. In this example, AR code found an object that has created a plane on the object surface. The problem is that, a lack of additional features has led the system to believe that the plane for this object should extend much further than the object actually reaches. This leads to AR code creating a plane for the app that is inappropriately rendered. This foul plane allows users to place assets where they shouldn't be. In this case, in midair, and eventually break the realism of the experience.