Trifocal Relative Pose From Lines at Points

We present a method for solving two minimal problems for relative camera pose estimation from three views, which are based on three view correspondences of (i) three points and one line and the novel case of (ii) three points and two lines through two of the points. These problems are too difficult...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 6 vom: 11. Juni, Seite 7870-7884
1. Verfasser: Fabbri, Ricardo (VerfasserIn)
Weitere Verfasser: Duff, Timothy, Fan, Hongyi, Regan, Margaret, da Costa de Pinho, David, Tsigaridas, Elias, Wampler, Charles, Hauenstein, Jonathan, Giblin, Peter J, Kimia, Benjamin B, Leykin, Anton, Pajdla, Tomas
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2023
Zugriff auf das übergeordnete Werk:IEEE transactions on pattern analysis and machine intelligence
Schlagworte:Journal Article
LEADER 01000naa a22002652 4500
001 NLM363128778
003 DE-627
005 20231226092707.0
007 cr uuu---uuuuu
008 231226s2023 xx |||||o 00| ||eng c
024 7 |a 10.1109/TPAMI.2022.3226165  |2 doi 
028 5 2 |a pubmed24n1210.xml 
035 |a (DE-627)NLM363128778 
035 |a (NLM)37819794 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
100 1 |a Fabbri, Ricardo  |e verfasserin  |4 aut 
245 1 0 |a Trifocal Relative Pose From Lines at Points 
264 1 |c 2023 
336 |a Text  |b txt  |2 rdacontent 
337 |a ƒaComputermedien  |b c  |2 rdamedia 
338 |a ƒa Online-Ressource  |b cr  |2 rdacarrier 
500 |a Date Revised 30.10.2023 
500 |a published: Print 
500 |a Citation Status PubMed-not-MEDLINE 
520 |a We present a method for solving two minimal problems for relative camera pose estimation from three views, which are based on three view correspondences of (i) three points and one line and the novel case of (ii) three points and two lines through two of the points. These problems are too difficult to be efficiently solved by the state of the art Gröbner basis methods. Our method is based on a new efficient homotopy continuation (HC) solver framework MINUS, which dramatically speeds up previous HC solving by specializing hc methods to generic cases of our problems. We characterize their number of solutions and show with simulated experiments that our solvers are numerically robust and stable under image noise, a key contribution given the borderline intractable degree of nonlinearity of trinocular constraints. We show in real experiments that (i) sift feature location and orientation provide good enough point-and-line correspondences for three-view reconstruction and (ii) that we can solve difficult cases with too few or too noisy tentative matches, where the state of the art structure from motion initialization fails 
650 4 |a Journal Article 
700 1 |a Duff, Timothy  |e verfasserin  |4 aut 
700 1 |a Fan, Hongyi  |e verfasserin  |4 aut 
700 1 |a Regan, Margaret  |e verfasserin  |4 aut 
700 1 |a da Costa de Pinho, David  |e verfasserin  |4 aut 
700 1 |a Tsigaridas, Elias  |e verfasserin  |4 aut 
700 1 |a Wampler, Charles  |e verfasserin  |4 aut 
700 1 |a Hauenstein, Jonathan  |e verfasserin  |4 aut 
700 1 |a Giblin, Peter J  |e verfasserin  |4 aut 
700 1 |a Kimia, Benjamin B  |e verfasserin  |4 aut 
700 1 |a Leykin, Anton  |e verfasserin  |4 aut 
700 1 |a Pajdla, Tomas  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t IEEE transactions on pattern analysis and machine intelligence  |d 1979  |g 45(2023), 6 vom: 11. Juni, Seite 7870-7884  |w (DE-627)NLM098212257  |x 1939-3539  |7 nnns 
773 1 8 |g volume:45  |g year:2023  |g number:6  |g day:11  |g month:06  |g pages:7870-7884 
856 4 0 |u http://dx.doi.org/10.1109/TPAMI.2022.3226165  |3 Volltext 
912 |a GBV_USEFLAG_A 
912 |a SYSFLAG_A 
912 |a GBV_NLM 
912 |a GBV_ILN_350 
951 |a AR 
952 |d 45  |j 2023  |e 6  |b 11  |c 06  |h 7870-7884