I can't find a working example of a cutting plane implementation for HelixToolkit.Wpf.SharpDX.
I hope to achieve something simpler than the HelixToolkit.Wpf cutting plane which can be invoqued by shift+clic anywhere on the displayed model.
I'll be happy if at least I would be able to do cutting planes with axis-oriented normals, I don't have any interest in custom oriented cutting planes.
Edit
After answering to first comment, I add the precision about trying to do something after the CrossPlaneSection example from the github, but couldn't find someting to use on a more complicated scene. Still waiting for tips.
See the cross section example in Sharpdx version
https://github.com/helix-toolkit/helix-toolkit/tree/develop/Source/Examples/WPF.SharpDX/CrossSectionDemo
Related
I have looked around everywhere on this subject, found quite a bit of information, it all looks very complex. I have found this article which is really good.
But it doesn't really breakdown how to calculate the values to enter into the ArcSegment to make a full circle, does anyone have any advice. Just show me how to make an ArcSegment which will start at one point and go around 360 and I will work from there.
I have the better solution in form of highly customizable open-source project: https://github.com/panthernet/XamlRadialProgressBar
You can style it as you like or examine the code and create your own beast :)
I have done exactly this, as described in the blog post:
http://dragablz.net/2015/09/15/bending-the-wpf-progressbar/
I am trying to create a bounding box around each character in an image. I have converted the image to binary and thresholded it but I don't understand how to create a bounding box despite reading the manual.
There are a few options for the bounding box technique, but I think you'll get a great result combining these two:
First, use the technique demonstrated here to detect a large portion of text and put a bounding rectangle around it so you crop the image to this area;
Second, experiment with the technique recently presented by OpenCV, also demonstrated here. It could be used to locate/extract individual characters on the resulting image of the first step.
I suppose you are trying to implement the OCR mechanism yourself instead of relying on great APIs such as Tesseract.
If you are looking for more information on how to do digit/text recognition, check this answer.
As said before "rudely", I encourage you to rewrite your question with more detail on what you already did. We didn't understand what you would like to do. If character recognition is what you want, have a look at this.
I am new to OpenCV so I apologize if I use incorrect terminology. I am writing a program in C that finds objects in an image (in this case red building blocks) and extracts that part of the image and displays it as a new image. I have thresholded the image to remove everything but red and used cvDilate to blur the results slightly to make the object more distinct. I then used the OpenCV Contour finding and drawing functions to locate and draw the blocks.
How can I access the contour locations stored as CvSeq* and take the upper-most and lower-most contour values from a cluster of contours (there may still be some noise from other red objects) so that I can make a bounding box around it?
Thanks
Actually, you don't have to do this manually because OpenCV provides this type of functionality for you.
Look at the cvMinAreaRect2 and cvBoundingRect. Here are their examples respectively: minarea.c (has some debugging stuff, but should give you the gist of how to use it) and generalContours_demo1.cpp (in C++, but should be easy to translate).
As a side note, I would definitely suggest using the C++ API of OpenCV as it is a bit easier to understand and has more features. Also, you spend a lot less time/code worrying about memory management since the Mat class handles that for you.
Hope that helps!
I have a sequence of images taken from a camera. The images consists of hand and surroundings. I need to remove everything except the hand.
I am new to Image processing. Would anyone help me in regard with the above Question. I am comfortable using C and Matlab.
A really simple approach if you have a stationary background and a moving hand (and quite a few images!) is simply to take the average of the set of images away from each image. If nothing else, it's a gentle introduction to Matlab.
The name of the problem you are trying to solve is "Image Segmentation". The Wikipedia page here: wiki is a good start.
If lighting consistency isn't a problem for you, I'd suggest starting with simple RGB thresholding and see how far that gets you before trying anything more complicated.
Have a look at OpenCV, a FOSS library for computer vision applications. Specifically, see the Video Surveillance module. For a walk through of background subtraction in MATLAB, see this EETimes article.
Can you specify what kind of images you have. Is the background moving or static? For a static background it is a bit straightforward. You simply need to subtract the incoming image from the background image. You can use some morphological operations to make it look better. They all depend on the quality of images that you have. If you have moving background I would suggest you go for color based segmentation. Convert the image to YCbCr then threshold appropriately. I know there are some papers available on it(However I dont have time to locate them). I suggest reading them first. Here is one link which might help you. Read the skin segmentation part.
http://www.stanford.edu/class/ee368/Project_03/Project/reports/ee368group08.pdf
background subtraction is simple to implement (estimate background as average of all frames, then subtract each frame from background and threshold resulting absolute difference) but unfortunately only works well if 1. camera has manual gain and exposure 2. lighting conditions do not change 3.background is stationary. 4. the background is visible for much longer than the foreground.
given your description i assume these are not the case - so what you can use - as already pointed out - is colour as a means of segmenting foreground from background. as it's a hand you are trying to isolate best bet is to learn the hand colour. opencv provides some means of doing this. if you want to do this yourself you just get the colour of some of the hand pixels (you would need to specify this manually for at least one frame) and convert them to HUE (which encapsulates the colour in a brightness independen way. skin colour has a very constant hue) and then make a HUE histogram. compare this to the rest of the pixels and then decided if the hue is simmilar enough.
I'm currently trying to build my personal website with Silverlight 3 and I've got this idea that you should be able to flip through the content in a certain way. I haven't seen exactly what I wanted before, so I uploaded a screenshot of the design for you guys to get a better idea of what I'm talking about:
Picture of desired effect http://www.bo-mortensen.dk/bmdkflip.jpg
As you can see it's more or less a carousel on the X axis. I've seen a fair number of carousel tutorials, but it seems to be quite "complicated" for what I'm looking for.
My main problem is that I fail to understand how to make this thing dynamic. I can sure do the flipping animations, but when it comes to the best approach of making the bottom page (the mirrored one) the previous etc, I'm a bit lost :)
I'm looking for any good advice on how to make this dynamic in such a way that the only thing that needs to be changed is the content itself (text, pictures etc) Also, I believe that each page/usercontrol should be using the same two (flip up and flip down) animations, if that's possible at all?
Hope I made myself clear on this - it's late after all ;) If not, just let me know and I'll see if I can elaborate!
Looks like you are looking for a Flippable 3D control. So check out my blog for one and you can tweak it to make vertical rotation.
http://jobijoy.blogspot.com/2009/04/3d-flipper-control-using-silverlight-30.html