Closed fangchuan closed 7 years ago
@fangchuan
@nikkadim Thank you for your reply, according to your argument I have solved the problem of the depth of object's surface, but the output of 4-phaseShift codec is still wrong, the depth of point cloud model is still the same as the sine curve changes, I checked the code, which is similar to the N-phase shift encoder code , but N-phaseShift codec's out is right. Even with my own writed getPhaseFor4Phase (), but the output is still the depth of information is also not correct
@fangchuan sorry, did not try 4-phaseShift codec
@nikkadim That is the result of my camera's calibration:
If i tilt the model plane at a great angle, proj_error will be bigger, is this normal?
@fangchuan cam error seems ok, but proj - is bad. The calibration obviously goes wrong. It needs to be fixed before anything else. The "result images" in the calibration dialog are supposed to be "flat illumination images" without stripes, you probably have it. You either do not have a linear gray-value response or the images are saturated. @jakobwilm has gamma-check Matlab-script to check, I did not try it.
@nikkadim yes, every image i get in the calibration dialog have strips. I have modified the camera and projector GAMMA = 2.5, the pictures are brighter. But the pictures are still striped, the calibration results when GAMMA = 2.5: Seq err 1: cam = 0.361 proj = 0.8007 Seq err 2: cam = 0.3893 proj = 0.8143 Seq err 3: cam =0.6125 proj = 1.127 Seq err 4: cam = 0.6991 proj = 1.108
Another problem, the Calibration video on the youtube is just a simple translation of the calibration board, is this effective? In Zhang's calibration paper, at least two images are required in different orientation。
@fangchuan in readme file @jakobwilm suggested to perform 20 positions
Yes, pure translation is not sufficient. The video serves only demonstration purposes. If result images are not flat, you probably have a non-linear grayvalue response, which needs to be fixed. Unfortunately, consumer projectors perform all sorts of "image processing", degamma, sharpening, spatiotemporal dithering - all of which are bad for measurement purposes. Try to generate a curve of the gray-value response using the matlab script and wrappers. If you cant get it linear by setting appropriate values in the projector's and graphics card settings, you could also atempt to implement a calibration correction step. This has been described in literature many times. You should expect reproj errors below 1px for both camera and projector. Best regards, /Jakob
On 4 Aug 2017, at 06:19, Nok notifications@github.com<mailto:notifications@github.com> wrote:
@fangchuanhttps://github.com/fangchuan in readme file @jakobwilmhttps://github.com/jakobwilm suggested to perform 20 positions
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@jakobwilm Thank you for your reply. In addition, I have not understand the position of phase algorithm in the Triangulator.cpp.Could you explain to me or tell me the literature for reference?
Sorry, I don’t understand this question.
On 5 Aug 2017, at 06.08, 方川 notifications@github.com<mailto:notifications@github.com> wrote:
@jakobwilmhttps://github.com/jakobwilm Thank you for your reply. In addition, I have not understand the position of phase algorithm in the Triangulator.cpp.Could you explain to me or tell me the literature for reference?
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@jakobwilm I do not understande the algorithm in Triangulator.cpp,What does the "determinantTensor" mean? Why is it calculated like this?
Those are some pre-calculations on the triangulation equation. Essentially, the system Ax=b is solved for every scene point. Only up (or vp in vertical camera-projector configuration) changes between time points, hence solving can be much accelerated. This was adapted from literature.
Hi man, I have studied on SLStudio for some time and now have a few questions to ask you。Could you have time to help me solve these questions? 1、What is the position of the phase algorithm in Triangulaotr? It is neither the traditional fixed position of the phase algorithm, nor is the flexible position of the phase algorithm, I did not understand the algorithm in Triangulator.cpp 2、I have tested the first six codec algorithms, but the point cloud model shown in the SLPointCloudWidget is still incorrect and can clearly see the shadows left by the black and white stripes on the surface of the object, causing the depth of the object's surface as a sine change, I think this is caused by the solution is not correct.
Hope to get your reply as soon as possible,thanks! @