Home > Publications database > Range flow estimation > print |
001 | 23577 | ||
005 | 20180210141523.0 | ||
024 | 7 | _ | |2 DOI |a 10.1006/cviu.2002.0970 |
024 | 7 | _ | |2 WOS |a WOS:000179265800003 |
037 | _ | _ | |a PreJuSER-23577 |
041 | _ | _ | |a eng |
082 | _ | _ | |a 004 |
084 | _ | _ | |2 WoS |a Computer Science, Artificial Intelligence |
084 | _ | _ | |2 WoS |a Engineering, Electrical & Electronic |
100 | 1 | _ | |a Spies, H. |b 0 |u FZJ |0 P:(DE-Juel1)VDB3187 |
245 | _ | _ | |a Range flow estimation |
260 | _ | _ | |a San Diego, Calif. |b Elsevier |c 2002 |
300 | _ | _ | |a 209 - 231 |
336 | 7 | _ | |a Journal Article |0 PUB:(DE-HGF)16 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
336 | 7 | _ | |a ARTICLE |2 BibTeX |
336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
336 | 7 | _ | |a article |2 DRIVER |
440 | _ | 0 | |a Computer Vision and Image Understanding |x 1077-3142 |0 8401 |v 85 |
500 | _ | _ | |a Record converted from VDB: 12.11.2012 |
520 | _ | _ | |a We discuss the computation of the instantaneous 3D displacement vector fields of deformable surfaces from sequences of range data. We give a novel version of the basic motion constraint equation that can be evaluated directly on the sensor grid. The various forms of the aperture problem encountered are investigated and the derived constraint solutions are solved in a total least squares (TLS) framework. We propose a regularization scheme to compute dense full flow fields from the sparse TLS solutions. The performance of the algorithm is analyzed quantitatively for both synthetic and real data. Finally we apply the method to compute the 3D motion field of living plant leaves. (C) 2002 ENevier Science (USA). |
536 | _ | _ | |a Chemie und Dynamik der Geo-Biosphäre |c U01 |2 G:(DE-HGF) |0 G:(DE-Juel1)FUEK257 |x 0 |
588 | _ | _ | |a Dataset connected to Web of Science |
650 | _ | 7 | |a J |2 WoSType |
653 | 2 | 0 | |2 Author |a range data sequences |
653 | 2 | 0 | |2 Author |a total least squares |
653 | 2 | 0 | |2 Author |a aperture problem |
653 | 2 | 0 | |2 Author |a regularization |
700 | 1 | _ | |a Jähne, B. |b 1 |0 P:(DE-HGF)0 |
700 | 1 | _ | |a Barron, J. L. |b 2 |0 P:(DE-HGF)0 |
773 | _ | _ | |a 10.1006/cviu.2002.0970 |g Vol. 85, p. 209 - 231 |p 209 - 231 |q 85<209 - 231 |0 PERI:(DE-600)1462895-8 |t Computer vision and image understanding |v 85 |y 2002 |x 1077-3142 |
909 | C | O | |o oai:juser.fz-juelich.de:23577 |p VDB |
913 | 1 | _ | |k U01 |v Chemie und Dynamik der Geo-Biosphäre |l Chemie und Dynamik der Geo-Biosphäre |b Environment (Umwelt) |0 G:(DE-Juel1)FUEK257 |x 0 |
914 | 1 | _ | |y 2002 |
915 | _ | _ | |0 StatID:(DE-HGF)0010 |a JCR/ISI refereed |
920 | 1 | _ | |k ICG-III |l Phytosphäre |d 31.12.2006 |g ICG |0 I:(DE-Juel1)VDB49 |x 0 |
970 | _ | _ | |a VDB:(DE-Juel1)14425 |
980 | _ | _ | |a VDB |
980 | _ | _ | |a ConvertedRecord |
980 | _ | _ | |a journal |
980 | _ | _ | |a I:(DE-Juel1)IBG-2-20101118 |
980 | _ | _ | |a UNRESTRICTED |
981 | _ | _ | |a I:(DE-Juel1)IBG-2-20101118 |
981 | _ | _ | |a I:(DE-Juel1)ICG-3-20090406 |
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