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Multi‐Object Matching
ereoh edited this page Nov 1, 2023
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4 revisions
- pMatch: pairwise matching results, numpy array of pairwiseMatches class
- C: 2xM coordinate matrix
- M = total number of keypoints in image collection
- method: matching method to use (als or pg)
- univsize: how many points per image
- jMatch: joint matching result, numpy array of pairwiseMatches class
- jmInfo: joint matching info, numpy array of jointMatchInfo
- tInfo: joint matching runtime (s)
M_out, eigV, tInfo, iter = matchALS(vM, nFeature, Size)
M_out, eigV, tInfo, Z = proposedMethod(vM, C, nFeature, Size)
M_out, eigV, tInfo = spectralMatch(vM, nFeature, Size)
Note: broken!
due to eigenvector ambiguities in the rounding()
function
Not yet implemented.