I am new to unity and vuforia, I would like to know is it possible that instead of using a image target in vuforia, can I do something like augmenting real time hand drawn illustration? For instance, when I start to draw something on the AR app, then a 3D object representing the object I am drawing would also appear?
Vuforia can recognize pre-defined images, with enough features to be detected. If you draw by hand such an image, that's fine. Otherwise - the answer is no. Just an FYI - Vuforia also has text recognition, if you'd like, take a look here: Vuforia's Text Recognition
Of course that if a detection was made, what happens and what is drawn is up to you, so of course a 3D object is an option.
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I'm making an augmented reality app with Unity and Mapbox for both ios and android. I have data sets that I am using to make markers in the real world when someone uses the app. I collected json files and converted them to geojson files and then I made a custom map in Mapbox Studio with these 4 different geojson files. Basically I want to have the markers from the datasets I collected to show up in the real world. I am not sure how to get these markers to show up in the real world and not with building prefabs. Example of my custom app made in Mapbox. Each color shows a different category of markers. There are four categories.
Here is an example of what I am referring to.
In this image skeletons can show up in the real world.
Here is an example of what I am not referring to.
In this image droids are place in a map but it is not the real world. It is like Pokemon Go where the map is generated with location but you don't actually see the real world when you are playing.
I already have my Unity project set up and this is the final step, but I am just having issues getting it to show up in the real world. So far, tutorials only show on to get it to reflect something like Pokemon Go.
You will have one scene with a stationary Camera. Your code will monitor the MapBox data in Update(), constantly passing the current GPS position and receiving your list of markers/points of interest. You can simply randomly spawn skeletons in a sphere area (see https://docs.unity3d.com/ScriptReference/Random-insideUnitSphere.html) around the Camera's transform position once you detect that the user's GPS position is in within a certain distance of the center of your point of interest. Keep track of that list, and destroy the skeletons once they leave the area - and have some way of making sure you only spawn them once for that area.
Your skeletons should have a NavMeshAgent, and you should generate a NavMesh onto the ARFoundation plane for them to walk on. In this case, the plane is probably dynamically created and you may need to use the dynamic NavMesh component https://github.com/Unity-Technologies/NavMeshComponents. If you tell the NavMeshAgent to go to a specific point it will walk to the closest point - so even though you get a random position in the sphere in 3D, the skeleton will move or spawn onto the nearest point so there is no need to figure out how to convert it to the 2D plane space.
Your AR view, both the tracking of the camera position/angle and the generation of a plane representing the ground, will be something generated by ARFoundation and it is simple to add the basic functionality. They have a prefab that already includes the camera and generates the plane for you. You can get ARFoundation via the Unity Package Manager. It will work with many different types of devices.
You should start with a cheap Android phone or tablet, even if you own an iPhone, because it's easier to load the APK and debug/develop your app via Android build.
This is a simplification. I recommend using Singletons, ScriptableObjects, Object Pooling, and other Unity paradigms and plenty of other things within Unity that would help you but as another user pointed out - you may want to spend time learning Unity, ARFoundation, MapBox, and ask more specific programming questions when you are ready.
I built an apk using the HelloAR scene (which is provided with ARcore package). The app is only detecting Horizontal surface like table and creates it's own semi-transparent plane over it. When I moved my phone around a bottle, the app again, only created a horizontal plane cutting through the bottle. I expected ARCore to create planes along the bottle as I move my phone around, like polygons in a mesh.
Another scenario is, I placed 2 books on the floor, and each of them have different thickness. But the HelloAR app creates only one semi-transparent horizontal surface over the thicker book, instead of creating two surfaces (one for each book).
What is going wrong here? How can I fix it and make the HelloAR app work more precisely? Please help.
Software: Unity v2018.2,
ARcore v1.11.0
ARCore generates an approximate point cloud using a soft movement of the device to identify the featured points, this points are detected by contrast in the different shapes, if you use your application in test mode in unity you can see how the points are placed in your empty scene.
Once the program has enough points at the "same height" (I don't know the exact precision), it generates the plane that you can see, but it won't detect planes separated by a difference of 5cm or even more distance.
If you want to know the approximate accuracy of the app, test it with unity and make a script to capture the generated points that have been used to generate the planes, then check the Y difference to see which is the tolerance distance.
Okay so Vuforia is currently one of the leading SDKs for augmented reality providing a wide area of detection options (Images, Ground, Point, 3D objects, ...)
So regarding your question about detecting a bottle I would most certainly use the 3D model detection feature. You can read the official docs here.
You need to first generate an approximate of the object in a 3d modeling software and the use their program to generate the detection model. Then you put this in Unity and setup the detection. (no coding needed)
I have some experience with this kind of detection. I used it to detect a large 2mx2m scale model of an electric vehicle. It works great, you can walk around it and it tracks it through and through. You can see a short official demo here
Hope it helped to explain this in short!
I'm working on a project for an exhibition where an AR scene is supposed to be layered on top of a 3D printed object. Visitors will be given a device with the application pre-installed. Various objects should be seen around / on top of the exhibit, so the precision of tracking is quite important.
We're using Unity to render the scene, this is not something that can be changed as we're already well into development. However, we're somewhat flexible on the technology we use to recognize the 3D object to position the AR camera.
So far we've been using Vuforia. The 3D target feature didn't scan our object very well, so we're resorting to printing 2D markers and placing them on the table that the exhibit sits on. The tracking is precise enough, the downside is that the scene disappears whenever the marker is lost, e.g. when the user tries to get a closer look at something.
Now we've recently gotten our hands on a Lenovo Phab 2 pro and are trying to figure out if Tango can improve on this solution. If I understand correctly, the advantage of Tango is that we can use its internal sensors and motion tracking to estimate its trajectory, so even when the marker is lost it will continue to render the scene very accurately, and then do some drift correction once the marker is reacquired. Unfortunately, I can't find any tutorials on how to localize the marker in the first place.
Has anyone used Tango for 3D marker tracking before? I had a look at the Area Learning example included in the Unity plugin, by letting it scan our exhibit and table in a mostly featureless room. It does recognize the object in the correct orientation even when it is moved to a different location, however the scene it always off by a few centimeters, which is not precise enough for our purposes. There is also a 2D marker detection API for Tango, but it looks like it only works with QR codes or AR tags (like this one), not arbitrary images like Vuforia.
Is what we're trying to achieve possible with Tango? Thanks in advance for any suggestions.
Option A) Sticking with Vuforia.
As Hristo points out, Your marker loss problem should be fixable with Extended Tracking. This sounds definitely worth testing.
Option B) Tango
Tango doesn't natively support other markers than the ARTags and QRCodes.
It also doesn't support the Area Learnt scene moving (much). If your 3DPrinted objects stayed stationary you could scan an ADF and should have good quality tracking. If all the objects stay still you should have a little but not too much drift.
However, if you are moving those 3D Printed objects, it will definitely throw that tracking off. So moving objects shouldn't be part of the scanned scene.
You could make an ADF Scan without the 3D objects present to track the users position, and then track the 3D printed objects with ARMarkers using Tangos ARMarker detection. (unsure - is that what you tried already?) . If that approach doesn't work, I think your only Tango option is to add more features/lighting etc.. to the space to make the tracking more solid.
Overall, Natural Feature tracking by Vuforia (or Marker tracking for robustness) sounds more suited to what I think your project is doing, as users will mostly be looking at the ARTag/NFT objects. However, if it's robustness is not up to scratch, Tango could provide a similar solution.
I am trying to wrap my head around Vuforia's capabilities. I want to make an app which lets me place a 3D object into a camera view and have that 3D object stick to the world. I've been learning how to use Vuforia in Unity3D, and Vuforia seems to be slightly capable of this, but is severely limited by its craving for "Targets". It doesn't seem to be able to do much if I don't give it some sort of target.
One workaround I've found is to set the ARCamera's World Center Mode to DEVICE_TRACKING. This seems to let me place a 3D object into the world (in Unity) and have this object overlay into the camera feed, almost making it seem like it's anhcored to the real world. This doesn't work perfectly though: it tracks properly when I angle the device up/down/left/right (rotation), but it does not seem to track the device's translational motion; that is, when I move the device forward/back/left/right, the overlaid object doesn't get closer/farther nor does it rotate as I move around it.
Is it possible to get this sort of tracking out of Vuforia, or am I better off switching to something like Google Tango?
The difficulty with setting World Center Mode to CAMERA in Vuforia is that apparently 3D objects rotate around the camera based on its accelerometer/gyroscope changes. This doesn't allow for objects to be anchored to the environment. Instead they follow with the camera.
Kudan is a good markerless tracking option.
Hi Friends
I Want to make a simple gaming Application in which the user hit the car and car breaks from that point means the image get little deformed when the user hit the car image. I know everything could be possible with using of lots of images and get change when user hit that car image but i don't want to use so many images.
is there any solution for this , how can i deform the image ..sorry for my English but , here i paste a link of the game that is on flash and this is what i exactly want..
http://www.playgecogames.com/file.php?f=657&a=popup
please respond soon
thanks
You don't say if this is in 2D or 3D, or what techniques you're going to use.
If you're implementing the game using OpenGL, it's fairly straightforward. The object can be made up of a regular mesh, with the image as a texture mapped to the mesh. When the user hits the object, you just deform the mesh.
A simple method would be to take a vector in the direction of the hit, displace the nearest vertex by an amount proportional to the force of the strike, and then fan out in to deform the rest of the mesh in decreasing amounts. By deforming the mesh, the image texture will be rendered with all the dents or deformations you like.
If you want to to this without OpenGL and just straight images, you could use image resampling to simulate the effect. You have your original pristine image which is 'filtered' to make up the resulting image. At first there are no deformations so you copy the original image verbatim. Each time the user hits the object, you can add a deformation using a filter or transform within a local region of interest. This function would resample the source image in a distorted manner, causing it to look like the object is damaged.
If you look up some good books on game development, you'll find a great range of approaches to object collisions, deformations and so on.
If you know a bit about image processing technics here is the documentation for accessing the pixels of the image :
Apple Reference
You also have libraries for this such as this one :
simple-iphone-image-processing
But for what you want to do this might not be the easiest way. What I would suggest is that you divide the car into several images depending on what areas can be impacted. Then you just change the image corresponding to the damaged zone each time the car is hit.
I think you should use the cocos2d effects http://www.cocos2d-iphone.org/wiki/doku.php/prog_guide%3aeffects + multiple images. Because there are many parts which drops after the player kick the car. Like when user kick the side mirror you should change the car image with without side mirror car image.
The person that has made that flash game used around 4 images to display the car. If you want the game to be in 2d, the easiest way is to draw the car, cut it into about 4 pieces (: left side + right side (duplicate of the left side) hood and roof).
If you want to "really" deform the car you'll have to use a 3d engine like openGLES.
Id really suggest doing it in 2d :)
I suggest having a look at the cocos2d game engine. You can modify images with effects, which are applied using a virtual grid. Have a look at the effects page in their programming guide.