OpenCV: Descriptor matching with predefined constraints
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I have a bunch of keypoints on leftImage
and rightImage
. Given that the camera can move only horizontally, how can I efficiently find the distance moved by the camera horizontally?
I believe, using homographyMatrix, __ = cv2.findHomography(pointsRight, pointsLeft, cv2.RANSAC)
would be just a waste of computation, and not only that, there is no guarantee that the final homography matrix would only translate horizontally.
Or in other words, if I know the homography matrix can only be
[ 1 0 x
0 1 0
0 0 1 ]
how do I find x given keypoints and descriptors?
python opencv
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up vote
1
down vote
favorite
I have a bunch of keypoints on leftImage
and rightImage
. Given that the camera can move only horizontally, how can I efficiently find the distance moved by the camera horizontally?
I believe, using homographyMatrix, __ = cv2.findHomography(pointsRight, pointsLeft, cv2.RANSAC)
would be just a waste of computation, and not only that, there is no guarantee that the final homography matrix would only translate horizontally.
Or in other words, if I know the homography matrix can only be
[ 1 0 x
0 1 0
0 0 1 ]
how do I find x given keypoints and descriptors?
python opencv
add a comment |
up vote
1
down vote
favorite
up vote
1
down vote
favorite
I have a bunch of keypoints on leftImage
and rightImage
. Given that the camera can move only horizontally, how can I efficiently find the distance moved by the camera horizontally?
I believe, using homographyMatrix, __ = cv2.findHomography(pointsRight, pointsLeft, cv2.RANSAC)
would be just a waste of computation, and not only that, there is no guarantee that the final homography matrix would only translate horizontally.
Or in other words, if I know the homography matrix can only be
[ 1 0 x
0 1 0
0 0 1 ]
how do I find x given keypoints and descriptors?
python opencv
I have a bunch of keypoints on leftImage
and rightImage
. Given that the camera can move only horizontally, how can I efficiently find the distance moved by the camera horizontally?
I believe, using homographyMatrix, __ = cv2.findHomography(pointsRight, pointsLeft, cv2.RANSAC)
would be just a waste of computation, and not only that, there is no guarantee that the final homography matrix would only translate horizontally.
Or in other words, if I know the homography matrix can only be
[ 1 0 x
0 1 0
0 0 1 ]
how do I find x given keypoints and descriptors?
python opencv
python opencv
asked Nov 12 at 17:50
Saravanabalagi Ramachandran
2,77621951
2,77621951
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add a comment |
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