Given known intrinsic and extrinsic parameters, for an image point with known depth, calculate the point at...











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As mentioned, we assume that we have a fully calibrated camera, which all intrinsic and extrinsic parameters known, as well as known distances od all the points.



Assuming for a point (100,100,500), how can we calculate the position of the point if it were to have a distance of 1000?



Converting from image point to 3d world coordinate point is something I have already implemented, I am interested on how to find the image / 3d world coordinate point of point if its depth wasn't 500, but 1000, the collinear of the initial point for a specific depth.










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  • have a look at this: stackoverflow.com/questions/31265245/… to compute the global coordinates you'll have to transform with camera ectrinsics, too.
    – Micka
    Nov 10 at 9:29










  • I improved my question a bit. Converting from image points to 3d world coordinate point is not an issue. What I need is to find those coordinates for the collinear of the said in a different depth, in either image or 3d worlds coordinates.
    – Konstantine
    Nov 10 at 10:38






  • 1




    simplest code would be to just replace the depth=500 to depth=1000 and run the "reconstruction" again. However you could instead construct the ray from camera projection center through the 3D point and parametrize this line for a unit and evaluate that line-ewuation for multiple depth values.
    – Micka
    Nov 10 at 12:30










  • e.g. direction=(point3d - camera_center)/depth and then: newPoint1000 = camera_center + 1000*direction
    – Micka
    Nov 10 at 12:33












  • Is the camera center actually the translation matrix?
    – Konstantine
    Nov 10 at 12:39















up vote
0
down vote

favorite












As mentioned, we assume that we have a fully calibrated camera, which all intrinsic and extrinsic parameters known, as well as known distances od all the points.



Assuming for a point (100,100,500), how can we calculate the position of the point if it were to have a distance of 1000?



Converting from image point to 3d world coordinate point is something I have already implemented, I am interested on how to find the image / 3d world coordinate point of point if its depth wasn't 500, but 1000, the collinear of the initial point for a specific depth.










share|improve this question
























  • have a look at this: stackoverflow.com/questions/31265245/… to compute the global coordinates you'll have to transform with camera ectrinsics, too.
    – Micka
    Nov 10 at 9:29










  • I improved my question a bit. Converting from image points to 3d world coordinate point is not an issue. What I need is to find those coordinates for the collinear of the said in a different depth, in either image or 3d worlds coordinates.
    – Konstantine
    Nov 10 at 10:38






  • 1




    simplest code would be to just replace the depth=500 to depth=1000 and run the "reconstruction" again. However you could instead construct the ray from camera projection center through the 3D point and parametrize this line for a unit and evaluate that line-ewuation for multiple depth values.
    – Micka
    Nov 10 at 12:30










  • e.g. direction=(point3d - camera_center)/depth and then: newPoint1000 = camera_center + 1000*direction
    – Micka
    Nov 10 at 12:33












  • Is the camera center actually the translation matrix?
    – Konstantine
    Nov 10 at 12:39













up vote
0
down vote

favorite









up vote
0
down vote

favorite











As mentioned, we assume that we have a fully calibrated camera, which all intrinsic and extrinsic parameters known, as well as known distances od all the points.



Assuming for a point (100,100,500), how can we calculate the position of the point if it were to have a distance of 1000?



Converting from image point to 3d world coordinate point is something I have already implemented, I am interested on how to find the image / 3d world coordinate point of point if its depth wasn't 500, but 1000, the collinear of the initial point for a specific depth.










share|improve this question















As mentioned, we assume that we have a fully calibrated camera, which all intrinsic and extrinsic parameters known, as well as known distances od all the points.



Assuming for a point (100,100,500), how can we calculate the position of the point if it were to have a distance of 1000?



Converting from image point to 3d world coordinate point is something I have already implemented, I am interested on how to find the image / 3d world coordinate point of point if its depth wasn't 500, but 1000, the collinear of the initial point for a specific depth.







opencv math camera






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share|improve this question













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edited Nov 10 at 10:37

























asked Nov 10 at 9:21









Konstantine

549




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  • have a look at this: stackoverflow.com/questions/31265245/… to compute the global coordinates you'll have to transform with camera ectrinsics, too.
    – Micka
    Nov 10 at 9:29










  • I improved my question a bit. Converting from image points to 3d world coordinate point is not an issue. What I need is to find those coordinates for the collinear of the said in a different depth, in either image or 3d worlds coordinates.
    – Konstantine
    Nov 10 at 10:38






  • 1




    simplest code would be to just replace the depth=500 to depth=1000 and run the "reconstruction" again. However you could instead construct the ray from camera projection center through the 3D point and parametrize this line for a unit and evaluate that line-ewuation for multiple depth values.
    – Micka
    Nov 10 at 12:30










  • e.g. direction=(point3d - camera_center)/depth and then: newPoint1000 = camera_center + 1000*direction
    – Micka
    Nov 10 at 12:33












  • Is the camera center actually the translation matrix?
    – Konstantine
    Nov 10 at 12:39


















  • have a look at this: stackoverflow.com/questions/31265245/… to compute the global coordinates you'll have to transform with camera ectrinsics, too.
    – Micka
    Nov 10 at 9:29










  • I improved my question a bit. Converting from image points to 3d world coordinate point is not an issue. What I need is to find those coordinates for the collinear of the said in a different depth, in either image or 3d worlds coordinates.
    – Konstantine
    Nov 10 at 10:38






  • 1




    simplest code would be to just replace the depth=500 to depth=1000 and run the "reconstruction" again. However you could instead construct the ray from camera projection center through the 3D point and parametrize this line for a unit and evaluate that line-ewuation for multiple depth values.
    – Micka
    Nov 10 at 12:30










  • e.g. direction=(point3d - camera_center)/depth and then: newPoint1000 = camera_center + 1000*direction
    – Micka
    Nov 10 at 12:33












  • Is the camera center actually the translation matrix?
    – Konstantine
    Nov 10 at 12:39
















have a look at this: stackoverflow.com/questions/31265245/… to compute the global coordinates you'll have to transform with camera ectrinsics, too.
– Micka
Nov 10 at 9:29




have a look at this: stackoverflow.com/questions/31265245/… to compute the global coordinates you'll have to transform with camera ectrinsics, too.
– Micka
Nov 10 at 9:29












I improved my question a bit. Converting from image points to 3d world coordinate point is not an issue. What I need is to find those coordinates for the collinear of the said in a different depth, in either image or 3d worlds coordinates.
– Konstantine
Nov 10 at 10:38




I improved my question a bit. Converting from image points to 3d world coordinate point is not an issue. What I need is to find those coordinates for the collinear of the said in a different depth, in either image or 3d worlds coordinates.
– Konstantine
Nov 10 at 10:38




1




1




simplest code would be to just replace the depth=500 to depth=1000 and run the "reconstruction" again. However you could instead construct the ray from camera projection center through the 3D point and parametrize this line for a unit and evaluate that line-ewuation for multiple depth values.
– Micka
Nov 10 at 12:30




simplest code would be to just replace the depth=500 to depth=1000 and run the "reconstruction" again. However you could instead construct the ray from camera projection center through the 3D point and parametrize this line for a unit and evaluate that line-ewuation for multiple depth values.
– Micka
Nov 10 at 12:30












e.g. direction=(point3d - camera_center)/depth and then: newPoint1000 = camera_center + 1000*direction
– Micka
Nov 10 at 12:33






e.g. direction=(point3d - camera_center)/depth and then: newPoint1000 = camera_center + 1000*direction
– Micka
Nov 10 at 12:33














Is the camera center actually the translation matrix?
– Konstantine
Nov 10 at 12:39




Is the camera center actually the translation matrix?
– Konstantine
Nov 10 at 12:39

















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