Using a homography matrix and decomposing it to find the orientation of a plane fixed in the centre











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I currently have two images of a plane in real life from straight above. One to use as a reference image, and another when the plane has undergone a rotation fixed at the centre of the plane thus changing its orientation. The camera stays at a constant position.



I was wondering if I found the homography matrix of this rotation in opencv and then decomposed the homography matrix in order to find the rotation matrix whether this would yield accurate results and I would be able to find the three angles needed to describe the planes rotation in euclidean coordinates to a reasonable degree of accuracy.



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  • do you mean like decomposeHomographyMat function?
    – api55
    Nov 21 at 13:57










  • yes i was just wondering whether that yields in accurate results when used in real life images
    – azz
    Nov 21 at 18:35










  • the accuracy depends more on the homography calculation than the decomposition of it
    – api55
    Nov 21 at 18:42










  • that makes a lot of sense, am i right in assuming then that if i am just changing the orientation of one plane with easy to detect features fixed at the centre the homography calculation can be accurately done using opencv
    – azz
    Nov 21 at 19:31










  • depends on the image, not always is perfect, however if your features are good and numerous you have will get quite accurate results
    – api55
    Nov 21 at 20:11















up vote
0
down vote

favorite












I currently have two images of a plane in real life from straight above. One to use as a reference image, and another when the plane has undergone a rotation fixed at the centre of the plane thus changing its orientation. The camera stays at a constant position.



I was wondering if I found the homography matrix of this rotation in opencv and then decomposed the homography matrix in order to find the rotation matrix whether this would yield accurate results and I would be able to find the three angles needed to describe the planes rotation in euclidean coordinates to a reasonable degree of accuracy.



Thanks










share|improve this question







New contributor




azz is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.




















  • do you mean like decomposeHomographyMat function?
    – api55
    Nov 21 at 13:57










  • yes i was just wondering whether that yields in accurate results when used in real life images
    – azz
    Nov 21 at 18:35










  • the accuracy depends more on the homography calculation than the decomposition of it
    – api55
    Nov 21 at 18:42










  • that makes a lot of sense, am i right in assuming then that if i am just changing the orientation of one plane with easy to detect features fixed at the centre the homography calculation can be accurately done using opencv
    – azz
    Nov 21 at 19:31










  • depends on the image, not always is perfect, however if your features are good and numerous you have will get quite accurate results
    – api55
    Nov 21 at 20:11













up vote
0
down vote

favorite









up vote
0
down vote

favorite











I currently have two images of a plane in real life from straight above. One to use as a reference image, and another when the plane has undergone a rotation fixed at the centre of the plane thus changing its orientation. The camera stays at a constant position.



I was wondering if I found the homography matrix of this rotation in opencv and then decomposed the homography matrix in order to find the rotation matrix whether this would yield accurate results and I would be able to find the three angles needed to describe the planes rotation in euclidean coordinates to a reasonable degree of accuracy.



Thanks










share|improve this question







New contributor




azz is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.











I currently have two images of a plane in real life from straight above. One to use as a reference image, and another when the plane has undergone a rotation fixed at the centre of the plane thus changing its orientation. The camera stays at a constant position.



I was wondering if I found the homography matrix of this rotation in opencv and then decomposed the homography matrix in order to find the rotation matrix whether this would yield accurate results and I would be able to find the three angles needed to describe the planes rotation in euclidean coordinates to a reasonable degree of accuracy.



Thanks







image opencv homography






share|improve this question







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azz is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.











share|improve this question







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asked Nov 21 at 13:14









azz

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1




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New contributor





azz is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.






azz is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.












  • do you mean like decomposeHomographyMat function?
    – api55
    Nov 21 at 13:57










  • yes i was just wondering whether that yields in accurate results when used in real life images
    – azz
    Nov 21 at 18:35










  • the accuracy depends more on the homography calculation than the decomposition of it
    – api55
    Nov 21 at 18:42










  • that makes a lot of sense, am i right in assuming then that if i am just changing the orientation of one plane with easy to detect features fixed at the centre the homography calculation can be accurately done using opencv
    – azz
    Nov 21 at 19:31










  • depends on the image, not always is perfect, however if your features are good and numerous you have will get quite accurate results
    – api55
    Nov 21 at 20:11


















  • do you mean like decomposeHomographyMat function?
    – api55
    Nov 21 at 13:57










  • yes i was just wondering whether that yields in accurate results when used in real life images
    – azz
    Nov 21 at 18:35










  • the accuracy depends more on the homography calculation than the decomposition of it
    – api55
    Nov 21 at 18:42










  • that makes a lot of sense, am i right in assuming then that if i am just changing the orientation of one plane with easy to detect features fixed at the centre the homography calculation can be accurately done using opencv
    – azz
    Nov 21 at 19:31










  • depends on the image, not always is perfect, however if your features are good and numerous you have will get quite accurate results
    – api55
    Nov 21 at 20:11
















do you mean like decomposeHomographyMat function?
– api55
Nov 21 at 13:57




do you mean like decomposeHomographyMat function?
– api55
Nov 21 at 13:57












yes i was just wondering whether that yields in accurate results when used in real life images
– azz
Nov 21 at 18:35




yes i was just wondering whether that yields in accurate results when used in real life images
– azz
Nov 21 at 18:35












the accuracy depends more on the homography calculation than the decomposition of it
– api55
Nov 21 at 18:42




the accuracy depends more on the homography calculation than the decomposition of it
– api55
Nov 21 at 18:42












that makes a lot of sense, am i right in assuming then that if i am just changing the orientation of one plane with easy to detect features fixed at the centre the homography calculation can be accurately done using opencv
– azz
Nov 21 at 19:31




that makes a lot of sense, am i right in assuming then that if i am just changing the orientation of one plane with easy to detect features fixed at the centre the homography calculation can be accurately done using opencv
– azz
Nov 21 at 19:31












depends on the image, not always is perfect, however if your features are good and numerous you have will get quite accurate results
– api55
Nov 21 at 20:11




depends on the image, not always is perfect, however if your features are good and numerous you have will get quite accurate results
– api55
Nov 21 at 20:11

















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