Point Clouds with Depth of Field from Kyle McDonald on Vimeo.
House of Cards Google Code project
I've included a lot of discussion about how to make this technique work, and the general theory behind it. The basic idea is:
1 Download ThreePhase
2 Rotate a projector clockwise to "portrait"
3 Project the included images in /patterns, taking a picture of each
4 Resize the photos and replace the example images in /img with them
Remove these ads by
Signing UpStep 1: Theory: Triangulation
Triangulation from Inherent Features
Most 3D scanning is based on triangulation (the exception being time-of-flight systems like Microsoft's "Natal"). Triangulation works on the basic trigonometric principle of taking three measurements of a triangle and using those to recover the remaining measurements.
If we take a picture of a small white ball from two perspectives, we will get two angle measurements (based on the position of the ball in the camera's images). If we also know the distance between the two cameras, we have two angles and a side. This allows us to calculate the distance to the white ball. This is how motion capture works (lots of reflective balls, lots of cameras). It is related to how humans see depth, and is used in disparity-based 3D scanning (for example, Point Grey's Bumblebee).
Triangulation from Projected Features
Instead of using multiple image sensors, we can replace one with a laser pointer. If we know the angle of the laser pointer, that's one angle. The other comes from the camera again, except we're looking for a laser dot instead of a white ball. The distance between the laser and camera gives us the side, and from this we can calculate the distance to the laser dot.
But cameras aren't limited to one point at a time, we could scan a whole line. This is the foundation of systems like the DAVID 3D Scanner, which sweep a line laser across the scene.
Or, better yet, we could project a bunch of lines and track them all simultaneously. This is called structured light scanning.













































Visit Our Store »
Go Pro Today »




I recently tried this code , its amazing how u get a very good scan with just 3 pictures
I still didn't get a good result for my scan, I was wondering if you can help me with it
but I don't know how to paste picture on Instructables , can anyone help ??
thanks in advance
I am working on an academic project which includes development of a 360 degree 3d phase shift scanner & doing its error analysis.
I have a doubt related to optical triangulation:-
I have to compute the coordinates of center of projection of camera sensor,which requires me to know its sensor size since camera calibration gives me the distance between sensor & camera lens but in terms of no. of pixels per unit length along X & along Y direction.
But in general,such detailed information about cameras may not be available(e.g. logitech quickcam sphere AF),so is there any other approach by which i can do optical triangulation without need of camera's physical parameters.
for a more advanced explanation, check out the byo3d notes http://mesh.brown.edu/byo3d/
I have a question, is it necessary to calibrate the camera and projector,did you calibrate your camera and projector ,if you had calibrated ,which tools did you use to calibrate.
can you tell me your email,i wish to communicate with you in future.
Thank you. Merry christmas to you!
I have some questions about camera and projector calibration,I used MATLAB toolbox(toolbox_calib) to calibrate the camera and projector,but there were errors :"Warning: View #1 ill-conditioned. This image is now set inactive.
Error: There is no active image. Run Add/Suppress images to add images".
Do you know the reason. thanks
I do this with yangjun1222,I have tried as what you said.It is now a little better,but it is still not good enough.These are the pictures:
i don't know if i used the same file ordering as you, so you might need to flip the values from negative to positive.
if you're still worried about the 'waviness' in the scan, then you need to spend more time on gamma calibration. a linear gradient from the projector needs to appear linear to the camera. if you change the projector's mode to "cinema" (instead of "dynamic" or "graphics") this generally makes the gamma more linear.
I have tried your code and do everything according to your suggestion. But the result is not good enough.(as the sample picture of the little boy), I used your horiential pattern.
Can u tell what camera and project you used? Is that a DLP or a common Project? Must the camera be a Digital single Iens reflex one? And the position
of the camera ,project,people?
I sit about 1meter away from project, My face is in the middle of the project image, My camera is very near to the project(30cm higher).
In the sample, there are about 17 stripes in the boy's face, so I sit very near to the project to get as much as stripes.
In my result, there are wavies. (In your sample, there are wavies in the boys face, but the peak is very low).
Thank u very much!
a DLP is ok. you just need to have a shutter speed longer than 1/60 second.
non-DSLR camera is ok. you just need to be able to use a "manual" mode.
Thank u for your advice.
I think gray code should be easy to get good results, because of it is "digital".
Doesn't the focal length of the camera has to be taken in count?
I have the impression - this also seems to be logic in my mind - hat the resulting 3d-objects are percpectivly warped ( I don't know, if this the correct expression in english).
Or is there a way - if I know the focal length - to "rewarp" the 3d-data with a script (either in processing or in a 3d-application (in my case blender))?
Regards,
artoo3d
to have completely accurate data you need to calibrate for the positions, orientation, field of view/focal length, and distortion of both the camera and projector. the byo3d link at the end of the instructable takes all these things into account.
if you want, you can normalize it to 0 to 1 after the atan, this can speed up the unwrapping.
here is my c++ implementation of a flood fill decoder for reference, maybe this will help:
https://code.google.com/p/structured-light/source/browse/trunk/OpenFrameworks/addons/ofxStructuredLight/src/FloodFillDecoder.cpp
I'd like to ask you one more question. Does it make any difference if I pop the particular elements of toProcess vector from the beginning to its end or in reverse order? When I started to pop the elements from the beginning to the end of the vector the final image starts to look in quite reasonable way. Shouldn't it look like the one I've attached below?
for flood fill, i don't think it matters whether you pop from the front or back. if one gives you better results, go for it!
I hope you wouldn't mind me answering your question on 6th or 7th of July, I'm really sorry but I'm leaving for a holiday in few hours, so I have here some stuff to prepare and pack.
When I'll return, I'll check my application and tell you my output values immediatelly. I haven't used this code for a while so I'm not sure without running it again, but I think you shouldn't normalize the values for the computations, you should you the normalization only when showing the results, but not changing your original data that you want to use further. In many cases, when your output image does not look like some other, it's possible that it's just a matter of bad range.
Your resulting values could be in one range, but when showing the results for example represented by double values, you need to get all the values into the range 0.0-to-1.0(using proper normalization process) because every value lesser than 0.0 is black and every value greater than 1.0 is white.
If this does not help and my help will still be useful on 6th or 7th of July, I'll check my code and tell you more.
Or also.... you can check the results by compiling and running my code posted online.
Sincerely,
J3nc3k
Thanks.
the conversion problems weren't at the wrapping/unwrapping stage.
When using OpenCV, if you did not get an expected result, I'd recommend check the values in the image array you're trying to visualize. That's the place where my conversion problems shown up.
For example when you're trying to visualize an image represented by double values, it should have only values between 0.0 and 1.0. All the other values would not be correct for visualization.
Another thing is(but I'm not sure if this is your case, because I've tried multiple implementations of the method we're talking about here) that you have to check against 0 values before every division, sometimes I've forgotten to do this and it caused the image to look bad, because there were infinity values at some pixels.
Another thing that could cause the problem, you could have correct values but for some reason, they all could be close to 0 or close to 1, this could cause the image to look almost black/almost white, but when you scale the values into better range it could look all ok.
As you can see, all the problems I'm talking about are only visualization issues. It has nothing to do with the correct implementation of the method you're using. So if you're sure that you're showing an images with correct values, you should take another look at the implementation of the method, and if you're sure that the method's implementation is alright, then you should take another look at the visualization part.
And about the code. I'll discuss it with Kyle, ask him if there's a place where it could be published and then I'll tell you.
Sincerely,
J3nc3k
i tried alot but still couldn't get the final result as you got. phase wrapping is ok i think so. just need to optimize the intensity. But the phase Unwrapping is really bad ...dont know what to do ? kindly correct me in opencv code if i am wrong ?___________________________________________________________
the code is really short, it will not take too much time... :) .. kindly review it. _____________and correct me specially in unwrapping. ________________
the code can be found in below link___________ :) ________________________
http://cid-cfc279f571a92006.office.live.com/view.aspx/.Public/code.docx ________________________________
could you also tell me how to optimize the intensity in phase wrapping._________________
really thanks.. :)
about the images. The unwrapped phase map looks correct it's just displayed a little bit darker. I guess that this is not a problem of phase unwrapping, just try to brighten the image before displaying it. But change the values just for displaying. I'm sorry but I do not have a time to look at you code right now. I'll look at it in a week or two, if you do not need it ASAP and you won't solve it till then.
I'll upload my code today and then I'll post here a link to download.
That's all I can do for you right now. Unfortunately, I'm in a rush these days.
Sincerely,
Svoboda Jan
i was waiting for your reply, i really need your Phase Unwrapping code...if possible then kindly upload or give me the link of your uploaded code.
Thanks.
lucky
its really helpful for me.. thanks alot. Ya i think so... I need to make it little bit brighter just for the display.
that would be great if you upload your OpenCV code. Then i will make my code like that. I will be waiting for your code. Thanks. :)
here's the code.
You'll be probably most interested in ReconstUtil.cpp file.
www.stud.fit.vutbr.cz/~xsvobo80/ReconstApp.zip
I cannot guarantee that you'll be able to compile it without any errors, it's NetBeans project designed in Ubuntu 10.04.
PS: I have to apology to you. I'm really sorry for this big delay, but I haven't stopped since Thursday last week. Last weekend wasn't weekend for me at all.
Sincerely,
Svoboda Jan
and i think your field and mine is same, so why don't we share email addresses. mine is f_u_7@yahoo.com. :) .. we can exchange more ideas i think in future.
Tell me, have you tried to implement with unknown phase shift fringes/grids ? . and what did you do for the real time capturing and generation of 3D point cloud ? if you did then just share your ideas. or guide me... :)
Thanks alot.
Regards:
Lucky
let me understand your reply then will give you feedback...
actually i tried alot but couldn't get result like yours...but let me try again...
Thanks alot...