In case of image inputs for estimateRigidTransform() what feature points are computed? Are they similar to SIFT/SURF/FAST/ORB?

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asked 2017-07-03 15:21:45 -0600

ambikav
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I'm starting to work with estimateRigidTransform(). It allows two types of inputs - Vector or mat of 2D points OR two input images. It is mentioned in docs that some feature points are computed in case the inputs are images. What are these features?

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answered 2017-07-04 01:06:52 -0600

berak
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updated 2017-07-04 01:43:42 -0600

if you pass grayscale (CV_8U) images to estimateRigidTransform(), it will use sparse optical flow based on simple grid points, see src code

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Thanks for clarifying this!

ambikav ( 2017-07-05 19:22:41 -0600 )edit

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Asked: 2017-07-03 15:21:45 -0600

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Last updated: Jul 04 '17

In case of image inputs for estimateRigidTransform() what feature points are computed? Are they similar to SIFT/SURF/FAST/ORB? edit