Is there a tool for visualizing a given java3d app's scenegraph? Just like there is tools for auto generating UML diagrams.
Edit: if not, is there any good free tools for drawing such graphs? os x
J3DWorkbench is very good. http://eclectic3d.net/
this Java 3D forum thread might help: http://www.java.net/forum/topic/javadesktop/java-desktop-technologies/java-3d/java3d-loaded-scene-info
August
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I want to create a application which converts 2d-images/video into a 3d model. While researching on it i found out similar application like Trnio, Scann3D, Qlone,and few others(Though few of them provide poor output 3D model). I also find out about a technology launched by the microsoft research called mobileFusion which showed the same vision i was hoping for my application but these apps were non like that.
Creating a 3D modelling app is complex task, and achieving it to a high standard requires a lot of studying. To point you in the right direction, you most likely want to perform something called Structure-from-Motion(SfM) or Simultaneous Localization and Mapping (SLAM).
If you want to program this yourself OpenCV is a good place to start if you know C++ or Python. A typical pipeline involves; feature extraction and matching, camera pose estimation, triangulation and then optimised using a bundle adjustment. All pipelines for SfM and SLAM follow these general steps (with exceptions of course). All of these steps are possible is OpenCV although Googles Ceres Solver is an excellent open-source bundle adjustment. SfM generally goes onto dense matching which is where you get very dense point clouds which are good for creating meshes. A free open-source pipeline for this is OpenSfM. Another good source for tools is OpenMVG which has all of the tools you need to make a full pipeline.
SLAM is similar to SfM, however, has more of a focus on real-time application and less on absolute accuracy. Applications for this is more centred around robotics where a robot wants to know where it is relative to its environment, but it not so concerned on absolute accuracy. The top SLAM algorithms are ORB-SLAM and LSD-SLAM. Both are open-source and free for you to implement into your own software.
So really it depends what you want... SfM for high accuracy, SLAM for real-time. If you want a good 3D model I would recommend using existing algorithms as they are very good.
The best commercial software in my opinion... Agisoft Photoscan. If you can make anything half as good as this i'd be very impressed. To answer your question what resources will you require. In my opinion, python/c++ skills, the ability to google well and a spare time to read up on photogrammetry and SfM properly.
Ok, so I was planning on learning a little bit about java2d graphics and the java3d API and was wondering if there was any relation between the popular libraries and the raw Java API. I would like to get a good background on wth OpenGL is and try to learn the basics of the Java API before I go exploring into Game libraries and engines.
Thanks for the help in advance,
StoneAgeProgrammer
No, game libraries don't use Java 2D or Java 3D for performance reasons.
Java 2D/Java 3D are general-purpose abstractions, which means that they sacrifice some performance in order to be easier to use, but for a lot of games performance is really important.
Please recommend framework for Finite State Machine creation and simulation. I am aware of Stateflow package in Matlab, but are there any other good choices? It shouldn't be only Matlab. Frameworks on Java, R or Python are also ok.
What I am basically trying to do is to evolve automata for binary sequence prediction problem, like shown in this article
Thanks.
Consider Ragel. It has a manual and a good amount of examples; I find the documentation superior to that of AT&T Research's FSM Tools (which consisted of a couple manpages and sparse examples).
I've got retina tile maps working, 15x10 tiles, of 64x64 tiles. problem is for non-retina devices I will need to make a 15x10 tiles of 32x32 tiles. I don't want to recreate the Tile, is it just a case of changing the XML (.tmx) file? Is there an automated tool or another way around this? I've been looking online but not getting too much help.
Thanks
You have to update the TMX file and scale certain attributes. Unless your TMX map is very simple this will be a tedious and error-prone task that's best left to a tool.
There are a variety of TMX rescaling tools out there, but some didn't work for me or simply were incomplete at the time (ie one didn't scale object layers). All the tools I know are generally are written in rather unusual languages (for an iOS developer at least) like Python, Ruby or Bash scripts. Others are only available as binary without the source code.
Check out this cocos2d forum post. Specifically this tool or HDx on the App Store. iTilemaps might also work for you.
Because I wasn't happy with either of the choices, I wrote my own command line tool tmx2scale in Objective-C to rescale TMX maps intelligently in all directions. The tmx2scale tool is not currently available but it will be distributed complete with source code with the KoboldScript Game Kit project.
I'm currently using a Processing Kinect library which supplies a depth map. I was wondering how I could take that and use it to create a 2D skeleton, if possible. Not looking for any code here, just a general process I could use to achieve those results.
Also, given that we've seen this in several of the Kinect games so far, would it be difficult to have multiple skeletons running at once?
Disclaimer: the reason why you still didn't get an answer for this question is probably because that's a current research problem. So I can't give you a direct answer but will try to help with some information and useful resources for this topic.
There are mainly 2 different approaches to create a skeleton from a depth map. The first one is to use machine learning, the second is purely algorithmic.
For the machine learning one, you'd need many samples of people doing a predetermined move, and use those samples to train your favorite learning algorithm. That's the approach that was taken and implemented by Microsoft in the XBox (source), it works really well BUT you need millions of samples to make it reliable... quite a drawback.
The "algorithmic" approach (understand without using a training set) can be done in many different ways and is a research problem. It's often based on modeling the possible body postures and trying to match that with the depth image received. That's the approach that was chosen by PrimeSense (the guys behind the kinect depth camera technology) for their skeleton tracking tool NITE.
The OpenKinect community maintains a wiki where they list some interesting research material about this topic. You might also be interested in this thread on the OpenNI mailing list.
If you're looking for an implementation of a skeleton tracking tool, PrimeSense released NITE (closed source), the one they made: it's part of the OpenNI framework. That's what's used in most of the videos you might have seen that involve skeleton tracking. I think it's able to handle up to 2 skeletons at the same time, but that requires confirmation.
The best solution is to use FAAST (http://projects.ict.usc.edu/mxr/faast/) which requires OpenNI. I have struggled to get OpenNI to work on my computer. I have not seen an approach yet using Code Laboratories' CL NUI.
An algorithmic approach is http://code.google.com/p/skeletonization/ but you may have a problem because your depthmap only represents surfaces and no closed objects.