Stereo vision, or Stereopsis, is the process in visual perception leading to the perception of depth from the two slightly different projections of an object onto the two eyes. Computer stereo vision mimics this behaviour by having the computer compare multiple images of a scene and determine the ...
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Why do object-boundaries look better on a badly rectified image?(openCV stereo correspondence)
I got 2 pictures which is almost parallel, and not positioned very far from each other.
I'm using OpenCV to try to create a disparity map (Stereo correspondence).
Because I'm trying to use it in a ...
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65 views
OpenCV StereoRectify
If I have already computed the intrinsics(Camera matrix and distortion coefficients) in the lab.
I have then moved the cameras out in the real world field.
I used about 6-10 known locations in the ...
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1answer
50 views
Incorporating Radial Distortion in Imaging Model
I'm currently developing a multi-view stereo system but I'm confused as to how all the standard equations in Structure from Motion are affected in the presence of radial and decentering distortion. ...
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2answers
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How do you measure the accuracy of a stereo system?
I have a philosophical question of sorts for users familiar with a multi-view stereo setup. Imagine that I need to measure the dimensions of a large building and I take several photos of the building ...
8
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1answer
80 views
In computer stereo vision, what does it mean to “look in”?
In trying to understand this answer to my earlier question, can someone explain why it is important that the cameras are not in the same plane when the focal distance is large compared to the ...
8
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1answer
128 views
How can I estimate the spatial resolution of consumer grade electronics?
I have been looking at stereo vision applications, and one working example involves using two USB web cams, mounted together and calibrated.
Is there a way to estimate the theoretical spatial ...
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Are Computer Stereo Vision techniques appropriate for sub-millimetre measurements?
I have a project where I would like to image an object and be able to derive the heights of features in this image to sub-millimetre precision (exactly how precise is still yet to be determined, but ...
