|
|
|
|
LEADER |
01000naa a22002652 4500 |
001 |
NLM153980508 |
003 |
DE-627 |
005 |
20231223065108.0 |
007 |
tu |
008 |
231223s2004 xx ||||| 00| ||eng c |
028 |
5 |
2 |
|a pubmed24n0513.xml
|
035 |
|
|
|a (DE-627)NLM153980508
|
035 |
|
|
|a (NLM)15742892
|
040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rakwb
|
041 |
|
|
|a eng
|
100 |
1 |
|
|a Tong, Wai-Shun
|e verfasserin
|4 aut
|
245 |
1 |
0 |
|a Simultaneous two-view epipolar geometry estimation and motion segmentation by 4D tensor voting
|
264 |
|
1 |
|c 2004
|
336 |
|
|
|a Text
|b txt
|2 rdacontent
|
337 |
|
|
|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
|
338 |
|
|
|a Band
|b nc
|2 rdacarrier
|
500 |
|
|
|a Date Completed 31.03.2005
|
500 |
|
|
|a Date Revised 10.12.2019
|
500 |
|
|
|a published: Print
|
500 |
|
|
|a Citation Status MEDLINE
|
520 |
|
|
|a We address the problem of simultaneous two-view epipolar geometry estimation and motion segmentation from nonstatic scenes. Given a set of noisy image pairs containing matches of n objects, we propose an unconventional, efficient, and robust method, 4D tensor voting, for estimating the unknown n epipolar geometries, and segmenting the static and motion matching pairs into n independent motions. By considering the 4D isotropic and orthogonal joint image space, only two tensor voting passes are needed, and a very high noise to signal ratio (up to five) can be tolerated. Epipolar geometries corresponding to multiple, rigid motions are extracted in succession. Only two uncalibrated frames are needed, and no simplifying assumption (such as affine camera model or homographic model between images) other than the pin-hole camera model is made. Our novel approach consists of propagating a local geometric smoothness constraint in the 4D joint image space, followed by global consistency enforcement for extracting the fundamental matrices corresponding to independent motions. We have performed extensive experiments to compare our method with some representative algorithms to show that better performance on nonstatic scenes are achieved. Results on challenging data sets are presented
|
650 |
|
4 |
|a Comparative Study
|
650 |
|
4 |
|a Evaluation Study
|
650 |
|
4 |
|a Journal Article
|
650 |
|
4 |
|a Research Support, Non-U.S. Gov't
|
650 |
|
4 |
|a Research Support, U.S. Gov't, Non-P.H.S.
|
700 |
1 |
|
|a Tang, Chi-Keung
|e verfasserin
|4 aut
|
700 |
1 |
|
|a Medioni, Gérard
|e verfasserin
|4 aut
|
773 |
0 |
8 |
|i Enthalten in
|t IEEE transactions on pattern analysis and machine intelligence
|d 1979
|g 26(2004), 9 vom: 15. Sept., Seite 1167-84
|w (DE-627)NLM098212257
|x 1939-3539
|7 nnns
|
773 |
1 |
8 |
|g volume:26
|g year:2004
|g number:9
|g day:15
|g month:09
|g pages:1167-84
|
912 |
|
|
|a GBV_USEFLAG_A
|
912 |
|
|
|a SYSFLAG_A
|
912 |
|
|
|a GBV_NLM
|
912 |
|
|
|a GBV_ILN_350
|
951 |
|
|
|a AR
|
952 |
|
|
|d 26
|j 2004
|e 9
|b 15
|c 09
|h 1167-84
|