I need to find a way to model a physical place inside an iPhone application. For example, I want to be able to take images for a restaurant and then use some tools or programming API to model this resturant as a 3d place and make the user able to navigate and explore the place and rooms.
I have thought about HTML 5 inside a web view but I don't think the WebGL is compatible with iPhone Web View (Safari Engine).
Can you please recommend a method, API, Commercial Library or anything to help me achieve this task?
First, you need to be able to display 3D models for IPhone. One of the most popular 3D engine is Unity3D:
http://unity3d.com/
It is extremely easy to start playing with Unity3D. You even have a free license with limited features:
http://unity3d.com/unity/licenses
Then, you now need to reconstruct a 3D model from pictures. This is not a trivial problem so it is better if you know some computer vision. You can try to play with OpenCV:
http://opencv.willowgarage.com/wiki/
Best regards.
Actually Nuke from the Foundry has a decent start at the future of creating computer models from images.
Basically it takes a high contrast point and tracks it through successive moments. Given hundreds and thousands of tracked points, the next step is to calculate the perspective change between points.
Say two points are a known pixel distance apart at time zero and a certain time period later they are a different distance apart. This change in difference could be a bad tracking point. But assuming that the two points are perfectly tracking, then the distance change could be caused by a camera motion laterally or rotationally. And in real space a point further away from you will have a different perspective then a closer point . This perspective change is a mathematical certainty.
Initially the tracking is typically used to refilm a piece of film to stabilize it. But the process the software uses to analyze the film can be saved , it is often called a point cloud. connection of many close points that track very closely usually are because the points are parts of a surface, so a model can be built.
But my friend, we are barbarians to the speed and software that can do that perfectly yet. Or all the CG Artists out there would not have anything to model in Maya except fantasy monsters and space ships that don't exist yet....
Related
I'm actually doing a project with the Hololens of Microsoft. The problem is that the Hololens memory is bad, so i can only make a spatialmapping of a room and not of a building because he can't remember all the building. I had an idea, maybe a can create more object and assemble them ? But no one talk about this... Do you think it's possible ?
Thanks for reading me.
Y.P
Since you don’t have a compass, you could establish some convention to help. For example, you could start the scanning by giving a voice command (and stop it by another one), and decide to only start scanning when you’re facing north, for example. Then it would be easy to know the orientation of each room. What may be harder is to get the angle exactly right. Your head might be off by a few degrees and you may have to work some “magic” (post processing) to correct it.
Or placing QR codes on a wall (printer paper + scotch tape) and using something like Vuforia can help you avoid this orientation problem altogether (you would get the QR code’s orientation which would match that of the wall).
You can also simplify the scanned mesh and convert it to planes. That way you can remember simpler objects instead of the raw spatial mapping mesh. (Search for the SurfaceToPlanes script in the Holographic Academy tutorials).
Scanning, the first layer, as in HoloLens trying to reason about the environment is an unstoppable process. There is no API for starting or stopping it. And that process also does slowly consume more and more memory as far as I know. The only thing you can do is deleting space (aka deleting holograms) or covering the sensors. But that's OS/hardware level, not app level, which you presumably want.
Layer two, what you are you probably talking about, is starting and stopping the spatial reconstruction process, where that raw spatial data is processed into a low-poly mesh (aka spatial mapping). This process can be started or stopped. For example through Unity's SpatialMappingCollider and SpatialMappingRenderer components, if you use Unity.
Finally the third level is extracting some objects/segments from that spatial mapping mesh into primitives. Like that SurfaceToPlanes. That you can also fully control in terms of when.
There has been a great confusion, especially due to the a re-naming parties in MixedRealityToolkit (overuse of word Scanning) and Unity (SpatialAnchor to WorldAnchor etc.) and misleading tutorials using a lot of colloquialisms instead of crisp terminology.
Theory aside. If you want the HoloLens to think of your entire building as one continuous space in terms of the first layer, you're out of luck. It was designed for a living room and there is a lot of voodoo involved into making it work stable in facilities 30x30 meters. You probably want to rely on disjointed "islands" with specific detection anchors to identify where you are. Or rely on markers and coordinates relative to them.
Cheers
tl;dr;
How a software developer who get's a very high detailed 3D model, quickly & easily optimize it for mobile apps, so he can focus his time & energy on developing the app logic?
I think it's a pretty common use case and there may be a tool for this already out somewhere.
Long story
I have a 3D model (collada) of a machine. This model being created by the machine's engineering team, contains a lot of minute details essential in creating the machine hardware.
Now, I am developing a mobile app with unity that needs to render this machine along with 10 other machines in a single scene. The thing I like about the available models is that they look exactly like the real stuff. At the same time, I am not interested in the internal stuff, the external shell is just enough for me. I have no interaction with the 3D modelling team (let's assume I downloaded the model from some archive), and hence can't ask them to make any changes for me. The model is all I have. I am on my own.
There are two problems I am facing
How to get rid of the interiors of the models?
How to get rid of the high resolutions details in the external shell which the human eye can't detect in a mobile phone?
To give a sense of the scale, the real equipment and hence the model can be as big as 100 ft. (30 m.) while these will never occupy more than a 5 inch HD display. The size of the models ranges from 50MB to 400MB. The entire scene hence can go up to 2GB. Each model has nearly 300k faces.
The other challenge I am facing is that I am a software developer familiar with code and my familiarity with 3D modelling tools is very limited and I would like it to be that way :) I can play around with these tools, but I don't want to start spending half my time with these tools.
I have tried blender's decimate modifier. But the result's aren't good, the amount of details lost is very uniform, instead of being targeted to the interiors. I don't want to spend time in going through each mesh and deleting them manually.
Also, for some reason when I import a model that is exported from blender into unity, they look horrible (some faces/polygons that I can see in Blender I don't see them in unity), even with 0 decimation.
I am unable to digest the fact that the manual process is the only way. I feel with today's technology this would be a simple automation. The steps as I see are
Detect polygons that aren't directly reachable from any exterior raycasts. If required, I can define the set (14 may be enough) of points for the raycast's origin, basically camera's locations.
Delete these polygons
Detect polygons with dimensions less than a threshold
Delete these polygons
Blender to unity models can have slight problems if you don't export them the right way. How to do this is out of my field as I am also a developer and personally prefer 3DSMax.
What I would reccomend you to do is do what you don't want to do, it is the easiest way. Select the faces (just drag and select) and then just delete them all (the inside faces that is) you should be able to hide the outer shell if you got a propper 3d program, just google how to do it if it's too complicated for you.
If you want to delete smaller details on the outside, do exactly the same... just select the polys and delete them. I wouldn't reccomend using a build in tool because most of those tend to take the whole object and make it less polys or more polys depending on what tool you use.
In the end next time just try to get in to the program, as a programmer I dislike having to use 3D modelling software as well, but it is part of the job, so put some effort in and just learn the tools. It's less work than it seems.
Edit: As for the tools you are asking for, those do not really exist, you don't normally take a high poly model and change it to a low poly model for a mobile game. Instead you usually get a 3D artist to make a low poly model. The fact you do not have any communication with the team is a bit odd, but so be it. I'd reccomend either getting in touch with them or like I said before, putting the effort in and learning a 3D program, what you are wanting to do literally sounds like just click, drag, select and then press delete to delete some polys you wouldn't see anyways.
-Lars
with vcglib
vcglib may work for you, you can see the sample for simplify a ply 3D file. And it can applyed for many other 3D file format such as stl, obj... As vcglib is a C++ library, you can write a simple to use this library to simplify your stl model. This method work on the OS without X, such as ubuntu server. You can refer to my quesiton Failed to to simplify 3D models with vcglib, Assertion `0' failed on how to use vcglib to simplify a ply 3D file.
with meshlabserver
If you want do the auto simplyfication on OS with X, or windows, or Mac OS, it's much easy, you can refer to the meshlabserver, meshlab is also build on vcglib. You can run such ccommand, where the PLYmesher_script.mlx is the filter file, you can write this file or generate it with meshlab refer here.
meshlabserver -i ./option-0000.ply -o ./meshed.ply -m vc vn -s scripts/PLYmesher_script.mlx
I'm currently developing an application with the initial goal of obtaining, in real time, a 3D model of the environment "seen" by a Kinect device. This information would be later on used for projection mapping but that's not an issue, for the moment.
There are a couple of challenges to overcome, namely the fact that the Kinect will be mounted on a mobile platform (robot) and the model generation has to be in real-time (or close to it).
After a long research on this topic, I came up with several possible (?) architectures:
1) Use the depth data obtained from Kinect, convert it into a point cloud (using PCL for this step), then a Mesh and then export it into Unity for further work.
2) Use the depth data obtained from Kinect, convert it into a point cloud (using PCL for this step), export it into Unity and then convert it into a Mesh.
3) Use KinectFusion that already the option of creating a Mesh model, and (somehow) automatically load the Mesh model created into Unity.
4) Use OpenNI+ZDK (+ wrapper) to obtain the depth map and generate the Mesh using Unity.
Quite honestly, I'm kinda lost here, my main issue is the real-time requirement along with being forced to integrate several software components makes this it tricky problem. I don't know which if any of these solutions are viable and the information/tutorials on these issues isn't exactly abundant like the one, for example, for Skeleton tracking .
Any sort of help would be greatly appreciated.
Regards,
Nuno
Sorry, I might not be providing a solution for realtime mesh creation within Unity - but the process discussion here, was interesting enough for me to reply.
In the hard science novel Memories with Maya - there is discussion of exactly such a scenario:
"“Point taken,” he said. “So… Satish showed me a demo of the Quad [Quad=Drone] acquiring real-time depth and texture maps.”
“Nothing new in that,” I said.
“Yeah, but look above us.”
I tilted my head up. The crude shape of the Quad came into view.
“The Quad is here, but you can't see it because the FishEye [Fisheye=Kinect 2] is on it aimed straight ahead.”
“So it's mapping video texture over live geometry? Cool,” I said.
“Yeah, the breakthrough is I can freeze a frame… freeze real life as it were, step out of the scene and study it.”
“All you do is block out the live world with the cross polarizers?”
“Yeah,” he said. “It's a big deal for AYREE to be able to use such data-sets.”
“The resolution has improved,” I said.
“Good observation,” he said. “So has the range sensing. The lens optics have also been upgraded.”
“I noticed that if I turn around I don't see the live feed, just the empty street,” I said.
“Yes, of course,” he replied. “The Quad is facing the other way around. It's why I'm standing in front of you. The whole street, however, is a 3D model done by a standard laser scan taken from the top of that high tower.”
Krish pointed to a building block at the far end of the street. I turned back to the live 3D view again. He walked in front of me.
“This is uber cool. Everyone looks so real.”
“Haha. You should see how cool it is when you're here in person with the Wizer on,” he said. “I'm here watching these real people pass by, only they have a mesh of themselves mapped onto them.”
“Ahhh! Yes.”
“Yeah, it's like they have living paint on them. I feel like reaching out and touching, just to feel the texture.”...
The work that you're thinking of doing in this area, and this use of a live mesh goes far beyond Projection Mapping for events- for sure!
Wishing you the best on the project, and I will be following your updates.
Some of the science behind the story is on www.dirrogate.com if the topic interests you.
Kind Regards.
I would use Kinect Fusion, as it has a sample with the ability to export to .obj, which unity supports. You can automatically save it, and import it to unity to generate a mesh automatically. Especially if you have multiple Kinects, then Microsoft even has a sample to show the basics of Kinect Fusion with multiple Kinects. Also, since Fusion is already pre-written, there is not much code you will have to write.
Here is an example of a mesh from Fusion with one camera:
I do want you to notice how many vertices there are though... This could cause performance problems later on.
Good luck!
I am starting an AR project for a client which involves using AR in order to show information about certain objects. In this project, for example, the user would point the camera at a car. Depending on which part of the car the user is looking at (headlights, windshield) a button would appear. When the user presses that button, an information window would appear on screen, giving the user more information about that certain car part.
The client doesn't wish to place physical markers on the car (QR code / patterns), and so the car parts would have to be detected another way.
I have developed AR apps before, but based on user location and generated markers in the sky. I feel this system wouldn't be entirely relevant for the client's request.
Would anybody be able to point me in the right direction (iOS library) for this sort of project, and whether or not it would be entirely feasible.
Thanks for the input,
Andy.
What you need is a model-based tracker/6DOF object tracker. As you want to track a car, it will certainly be featureless (or you will only get sparse features), so you should look at textureless non planar 3D (object) tracking solutions.
It's pretty much state of the art right now (lot of research, few products/SDK), but using library like OpenCV and with the appropriate literature (see below) you should be able to develop one. You can look at an open-source solution like the ViSP library which has a module for model based tracker but not an official iOS port. for commercial libraries, closest will be AR libraries supporting SLAM or "3D object tracking".
In term of techniques, you have different way to handle this problem, some pointers:
You can use a model-based tracker relying on edge detection + initial CAD model of the object: 3D Textureless Object Detection and Tracking: An Edge-based Approach or Harald Wuest, Folker Wientapper, Didier Stricker Adaptable Model-based Tracking Using Analysis-by-Synthesis Techniques
The 12th International Computer Analysis of Images and Patterns (CAIP), 27-29th August 2007, Vienna, Austria.
You can use a model-based tracker relying on edge detection + (trained) template images
You can use some SLAM techniques combined with a model based tracker.
M. Tamaazousti, V. Gay-Bellile, S. Naudet Collette, S. Bourgeois, M. Dhome Real-Time Accurate Localization in a Partially Known Environment:Application to Augmented Reality on textureless 3D Objects. TrakMark 2011, Basel, Switzerland 26-29/10/2011
if your system will only run indoor, you can look at some RGBD tracker
S. Hinterstoisser, V. Lepetit, S. Ilic, S. Holzer, G. Bradski, K. Konolige, N. Navab
Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes Asian Conference on Computer Vision (ACCV), Korea, Daejeon, November 2012
(access to the software)
It seems you are heading for an interesting topic. However, my concern is the accuracy of what you are trying to do. Location-based AR would be a starting point for your research work. Still the granularity would be less to your problem domain. Since you have worked on the location-based AR application, you might have noticed the accuracy that you can expect would be maximum upto 3 meters. Therefore, that level of accuracy cannot address your problem domain in an advanced way.
However, I have seen prototypes that addresses your problem domain. One good example would be the BMW Augmented Reality Manual. Check this link http://www.youtube.com/watch?v=P9KPJlA5yds
Hence, I never came across a proper Augmented Reality library for iOS or even Android which can address your problem domain in the marker-less AR context.
The information above is only for your knowledge, but not to discourage you in any way.
I am currently working on a project at my home university to create an infrastructure-less indoor navigation iPhone application. I have a couple of questions regarding IndoorOSM and hope that experts here can steer me towards the right direction.
Given an indoor floor plan, how can I make use of JOSM to map it into OSM-XML format? I understand that the floor plan will be represented as nodes, ways, tags and relations with each node having a lat-lon value. As the indoor space I would like to map is located in Singapore where there is little existing mapping work done, I am not sure where to accurately place the floor plan in JOSM before modelling (the buildings are non-existent). The thing is, if I start modelling on a wrong location, the lat-lon values generated in the OSM-XML file will be way off from the lat-lon values in actual real world space, right? In that case I don't think I will be able to make use of the magnetometer to identify where the user is currently at on the map...
In the OSM wiki, it was mentioned that nodes represent a geospatial point and ways are simply a collection of 2-2000 nodes and can be used to represent an area. Pardon my ignorance, but how can I know what's the physical size/area of this "point" or node?
Other than IndoorOSM, is there an easier way to convert an indoor floor plan into something that my application can understand and use easily to allow navigation? I seen a project known as roodin on youtube but I'm not sure how they did the mapping (link).
I'm also working on app with similar functionalities. What I understand is:
1 - When mapping a building you should mapping with correct lat/long. It shouldn't be difficult to get building coordinates if you can go there and check coordinates with a smartphone with GPS. With you can't go there, it's more difficult. Maybe ask someone to do that helps you. But, to start drawing your floor plan, you don't need coordinates. you can do that after finish your drawing
2 - When use JOSM to drawing, it show (in status bar) the length of your way
3 - Currently, I'm sticking with IndoorOSM. I liked the way they reuse nodes, ways and relations to draw a floor plan. That's my recommendation