Sampson distance based joint estimation of multiple homographies with uncalibrated cameras

•Practitioners typically estimate multiple homographies separately.•Separate estimation does not enforce inter-homography constraints.•We jointly estimate homographies so that all constraints are satisfied.•Enforcing inter-homography constraints improves accuracy considerably.•Our cost function oper...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Computer vision and image understanding Ročník 125; s. 200 - 213
Hlavní autori:	Szpak, Zygmunt L., Chojnacki, Wojciech, Eriksson, Anders, van den Hengel, Anton
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Amsterdam Elsevier Inc 01.08.2014 Elsevier
Predmet:	Applied sciences Artificial intelligence Cameras Collection Computer science; control theory; systems Computer vision Cost function Data points Estimates Exact sciences and technology Fittings Latent variables Mathematics Maximum likelihood Multiple homographies Parameter estimation Parametric inference Pattern recognition. Digital image processing. Computational geometry Probability and statistics Sampson distance Sciences and techniques of general use Statistics Sampson distance Multiple homographies Latent variables Parameter estimation Maximum likelihood Image processing Epipolar geometry Image databank Latent variable model Modeling Multiple decision Multiple view Latent variable Image analysis Scene analysis Homograph Hidden variable theory Problem solving Cost function System identification Multiple choice
ISSN:	1077-3142, 1090-235X
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Abstract	•Practitioners typically estimate multiple homographies separately.•Separate estimation does not enforce inter-homography constraints.•We jointly estimate homographies so that all constraints are satisfied.•Enforcing inter-homography constraints improves accuracy considerably.•Our cost function operates directly on image points via the Sampson distance. Two images of a scene consisting of multiple flat surfaces are related by a collection of homography matrices. Practitioners typically estimate these homographies separately thereby violating inherent inter-homography constraints that arise naturally out of the rigid geometry of the scene. We demonstrate that through a suitable choice of parametrisation multiple homographies can be jointly estimated in a manner so as to satisfy all inter-homography constraints. Unlike the cost functions used previously for solving this problem, our cost function does not correspond to fitting one set of homography matrices to another set of homography matrices. Instead, we utilise the Sampson distance for homography matrix estimation and operate directly on image data points. By using the Sampson distance and working directly on data points, we expedite the application of a vast amount of knowledge that already exists for Sampson-distance-based single homography or fundamental matrix estimation. The estimation framework reported in this paper establishes a new baseline for joint multiple homography estimation and at the same time raises intriguing new research questions. The work may be of interest to a broad range of researchers who require the estimation of homography matrices with uncalibrated cameras as part of their solution.
AbstractList	•Practitioners typically estimate multiple homographies separately.•Separate estimation does not enforce inter-homography constraints.•We jointly estimate homographies so that all constraints are satisfied.•Enforcing inter-homography constraints improves accuracy considerably.•Our cost function operates directly on image points via the Sampson distance. Two images of a scene consisting of multiple flat surfaces are related by a collection of homography matrices. Practitioners typically estimate these homographies separately thereby violating inherent inter-homography constraints that arise naturally out of the rigid geometry of the scene. We demonstrate that through a suitable choice of parametrisation multiple homographies can be jointly estimated in a manner so as to satisfy all inter-homography constraints. Unlike the cost functions used previously for solving this problem, our cost function does not correspond to fitting one set of homography matrices to another set of homography matrices. Instead, we utilise the Sampson distance for homography matrix estimation and operate directly on image data points. By using the Sampson distance and working directly on data points, we expedite the application of a vast amount of knowledge that already exists for Sampson-distance-based single homography or fundamental matrix estimation. The estimation framework reported in this paper establishes a new baseline for joint multiple homography estimation and at the same time raises intriguing new research questions. The work may be of interest to a broad range of researchers who require the estimation of homography matrices with uncalibrated cameras as part of their solution. Two images of a scene consisting of multiple flat surfaces are related by a collection of homography matrices. Practitioners typically estimate these homographies separately thereby violating inherent inter-homography constraints that arise naturally out of the rigid geometry of the scene. We demonstrate that through a suitable choice of parametrisation multiple homographies can be jointly estimated in a manner so as to satisfy all inter-homography constraints. Unlike the cost functions used previously for solving this problem, our cost function does not correspond to fitting one set of homography matrices to another set of homography matrices. Instead, we utilise the Sampson distance for homography matrix estimation and operate directly on image data points. By using the Sampson distance and working directly on data points, we expedite the application of a vast amount of knowledge that already exists for Sampson-distance-based single homography or fundamental matrix estimation. The estimation framework reported in this paper establishes a new baseline for joint multiple homography estimation and at the same time raises intriguing new research questions. The work may be of interest to a broad range of researchers who require the estimation of homography matrices with uncalibrated cameras as part of their solution.
Author	Chojnacki, Wojciech Szpak, Zygmunt L. van den Hengel, Anton Eriksson, Anders
Author_xml	– sequence: 1 givenname: Zygmunt L. surname: Szpak fullname: Szpak, Zygmunt L. email: zygmunt.szpak@adelaide.edu.au – sequence: 2 givenname: Wojciech surname: Chojnacki fullname: Chojnacki, Wojciech email: wojciech.chojnacki@adelaide.edu.au – sequence: 3 givenname: Anders surname: Eriksson fullname: Eriksson, Anders email: anders.eriksson@adelaide.edu.au – sequence: 4 givenname: Anton surname: van den Hengel fullname: van den Hengel, Anton email: anton.vandenhengel@adelaide.edu.au
BackLink	http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28614673$$DView record in Pascal Francis
BookMark	eNp9kU1LxDAQhoMoqKt_wFMvgpeu-WibFryI-AWCBxXES8imU3eWtqlJuuK_N3UXDx6EgQTmfcLMk0Oy29seCDlhdM4oK85Xc7PGcc4py-Y0Fi13yAGjFU25yF93p7uUqWAZ3yeH3q8oZSyr2AF5e9Ld4G2f1OiD7g0kC-2hTlYW-5CAD9jpgLFvm6Qb24BDC8nSdvbd6WGJ4JNPDMtk7I1uceF0iKzRHTjtj8heo1sPx9tzRl5urp-v7tKHx9v7q8uH1GRUhrSWhnMwdUnLsmCLUtZ5xrQocq4rIbgB3oCAXEDRgKygkGWjs0VVybyRNDMgZuRs8-7g7McYR1YdegNtq3uwo1csz1mUJLmI0dNtVPs4cOPixujV4OKW7kvxOEBWyCnHNznjrPcOmt8Io2oSrlZqEq4m4YrGomWEyj-QwfAjLziN7f_oxQaF6GmN4JQ3CPE3anRggqot_od_A95zn4U
CODEN	CVIUF4
CitedBy_id	crossref_primary_10_1007_s11263_021_01535_y crossref_primary_10_1049_iet_ipr_2017_0254 crossref_primary_10_1007_s00138_015_0660_7 crossref_primary_10_3390_s22187044 crossref_primary_10_1109_TCSVT_2022_3190057 crossref_primary_10_1111_jmg_12624 crossref_primary_10_1177_15485129211062880 crossref_primary_10_1016_j_patrec_2020_03_033
Cites_doi	10.1007/s11785-012-0225-y 10.1007/s10851-007-0009-6 10.1109/TPAMI.2003.1227992 10.1109/ICCV.2011.6126485 10.1007/s11263-008-0167-z 10.5244/C.2.23 10.1007/3-540-61123-1_139 10.1109/34.601246 10.1109/34.982901 10.1109/ICCVW.2009.5457692
ContentType	Journal Article
Copyright	2014 Elsevier Inc. 2015 INIST-CNRS
Copyright_xml	– notice: 2014 Elsevier Inc. – notice: 2015 INIST-CNRS
DBID	AAYXX CITATION IQODW 7SC 8FD JQ2 L7M L~C L~D
DOI	10.1016/j.cviu.2014.04.008
DatabaseName	CrossRef Pascal-Francis Computer and Information Systems Abstracts Technology Research Database ProQuest Computer Science Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional
DatabaseTitle	CrossRef Computer and Information Systems Abstracts Technology Research Database Computer and Information Systems Abstracts – Academic Advanced Technologies Database with Aerospace ProQuest Computer Science Collection Computer and Information Systems Abstracts Professional
DatabaseTitleList	Computer and Information Systems Abstracts
DeliveryMethod	fulltext_linktorsrc
Discipline	Applied Sciences Engineering Computer Science Mathematics Statistics
EISSN	1090-235X
EndPage	213
ExternalDocumentID	28614673 10_1016_j_cviu_2014_04_008 S1077314214000952
GroupedDBID	--K --M -~X .DC .~1 0R~ 1B1 1~. 1~5 29F 4.4 457 4G. 5GY 5VS 6TJ 7-5 71M 8P~ AABNK AACTN AAEDT AAEDW AAIAV AAIKC AAIKJ AAKOC AALRI AAMNW AAOAW AAQFI AAQXK AAXUO AAYFN ABBOA ABEFU ABFNM ABJNI ABMAC ABXDB ABYKQ ACDAQ ACGFS ACNNM ACRLP ACZNC ADBBV ADEZE ADFGL ADJOM ADMUD ADTZH AEBSH AECPX AEKER AENEX AFKWA AFTJW AGHFR AGUBO AGYEJ AHJVU AHZHX AIALX AIEXJ AIKHN AITUG AJBFU AJOXV ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AOUOD ASPBG AVWKF AXJTR AZFZN BJAXD BKOJK BLXMC CAG COF CS3 DM4 DU5 EBS EFBJH EFLBG EJD EO8 EO9 EP2 EP3 F0J F5P FDB FEDTE FGOYB FIRID FNPLU FYGXN G-Q GBLVA GBOLZ HF~ HVGLF HZ~ IHE J1W JJJVA KOM LG5 M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 R2- RIG RNS ROL RPZ SDF SDG SDP SES SEW SPC SPCBC SSV SSZ T5K TN5 XPP ZMT ~G- 9DU AATTM AAXKI AAYWO AAYXX ABWVN ACLOT ACRPL ACVFH ADCNI ADNMO AEIPS AEUPX AFJKZ AFPUW AGQPQ AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP CITATION EFKBS SST ~HD BNPGV IQODW 7SC 8FD JQ2 L7M L~C L~D
ID	FETCH-LOGICAL-c407t-d7c22ecd808861b87d541a3652a9332ce2fe3e53e6fe79e678fa4b9975f704ce3
ISICitedReferencesCount	17
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000337930600014&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	1077-3142
IngestDate	Sun Sep 28 05:34:55 EDT 2025 Wed Apr 02 07:08:29 EDT 2025 Sat Nov 29 08:01:03 EST 2025 Tue Nov 18 20:49:28 EST 2025 Fri Feb 23 02:26:54 EST 2024
IsDoiOpenAccess	false
IsOpenAccess	true
IsPeerReviewed	true
IsScholarly	true
Keywords	Sampson distance Multiple homographies Latent variables Parameter estimation Maximum likelihood Image processing Epipolar geometry Image databank Latent variable model Modeling Multiple decision Multiple view Latent variable Image analysis Scene analysis Homograph Hidden variable theory Problem solving Cost function System identification Multiple choice
Language	English
License	CC BY 4.0
LinkModel	OpenURL
MergedId	FETCHMERGED-LOGICAL-c407t-d7c22ecd808861b87d541a3652a9332ce2fe3e53e6fe79e678fa4b9975f704ce3
Notes	ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23
OpenAccessLink	https://www.sciencedirect.com/science/article/pii/S1077314214000952
PQID	1551101723
PQPubID	23500
PageCount	14
ParticipantIDs	proquest_miscellaneous_1551101723 pascalfrancis_primary_28614673 crossref_primary_10_1016_j_cviu_2014_04_008 crossref_citationtrail_10_1016_j_cviu_2014_04_008 elsevier_sciencedirect_doi_10_1016_j_cviu_2014_04_008
PublicationCentury	2000
PublicationDate	2014-08-01
PublicationDateYYYYMMDD	2014-08-01
PublicationDate_xml	– month: 08 year: 2014 text: 2014-08-01 day: 01
PublicationDecade	2010
PublicationPlace	Amsterdam
PublicationPlace_xml	– name: Amsterdam
PublicationTitle	Computer vision and image understanding
PublicationYear	2014
Publisher	Elsevier Inc Elsevier
Publisher_xml	– name: Elsevier Inc – name: Elsevier
References	W. Chojnacki, A. van den Hengel, A dimensionality result for multiple homography matrices, in: Proc. Eighth Int. Conf. Computer Vision, 2011, pp. 2104–2109. Hartley, Zisserman (b0055) 2004 Hartley (b0050) 1997; 19 Press, Teukolsky, Vetterling, Flannery (b0075) 1995 S. Baker, A. Datta, T. Kanade, Parameterizing homographies, Tech. Rep. CMU-RI-TR-06-11, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, 2006. A. Eriksson, A. van den Hengel, Optimization on the manifold of multiple homographies, in: Proc. 12th Int. Conf. Computer Vision Workshops, 2011, pp. 242–249. view geometry, in: Proc. 4th European Conf. Computer Vision, 1996, pp. 196–206. W. Chojnacki, Z. Szpak, M.J. Brooks, A. van den Hengel, Multiple homography estimation with full consistency constraints, in: Proc. Digital Image Computing: Techniques and Applications Conf., 2010, pp. 480–485. C.G. Harris, M. Stephens, A combined corner and edge detector, in: Proc. Fourth Alvey Vision Conference, 1988, pp. 147–151. Ma, Soatto, Kosecká, Sastry (b0070) 2005 Kanatani, Ohta, Kanazawa (b0060) 2000; E83-D A. Shashua, S. Avidan, The rank 4 constraint in multiple Zelnik-Manor, Irani (b0085) 2002; 24 Lütkepol (b0065) 1996 Chen, Suter (b0010) 2009; 81 Chojnacki, Brooks, van den Hengel, Gawley (b0020) 2003; 25 Chojnacki, Brooks (b0015) 2007; 28 Chojnacki, van den Hengel (b0030) 2013; 7 10.1016/j.cviu.2014.04.008_b0025 Lütkepol (10.1016/j.cviu.2014.04.008_b0065) 1996 10.1016/j.cviu.2014.04.008_b0045 10.1016/j.cviu.2014.04.008_b0035 10.1016/j.cviu.2014.04.008_b0005 Chojnacki (10.1016/j.cviu.2014.04.008_b0015) 2007; 28 Hartley (10.1016/j.cviu.2014.04.008_b0055) 2004 Chen (10.1016/j.cviu.2014.04.008_b0010) 2009; 81 Chojnacki (10.1016/j.cviu.2014.04.008_b0030) 2013; 7 Hartley (10.1016/j.cviu.2014.04.008_b0050) 1997; 19 Press (10.1016/j.cviu.2014.04.008_b0075) 1995 10.1016/j.cviu.2014.04.008_b0080 Zelnik-Manor (10.1016/j.cviu.2014.04.008_b0085) 2002; 24 Chojnacki (10.1016/j.cviu.2014.04.008_b0020) 2003; 25 10.1016/j.cviu.2014.04.008_b0040 Ma (10.1016/j.cviu.2014.04.008_b0070) 2005 Kanatani (10.1016/j.cviu.2014.04.008_b0060) 2000; E83-D
References_xml	– volume: 81 start-page: 205 year: 2009 end-page: 225 ident: b0010 article-title: Rank constraints for homographies over two views: revisiting the rank four constraint publication-title: Int. J. Comput. Vis. – volume: 25 start-page: 1172 year: 2003 end-page: 1177 ident: b0020 article-title: Revisiting Hartley’s normalized eight-point algorithm publication-title: IEEE Trans. Pattern Anal. Mach. Intell. – reference: W. Chojnacki, A. van den Hengel, A dimensionality result for multiple homography matrices, in: Proc. Eighth Int. Conf. Computer Vision, 2011, pp. 2104–2109. – reference: W. Chojnacki, Z. Szpak, M.J. Brooks, A. van den Hengel, Multiple homography estimation with full consistency constraints, in: Proc. Digital Image Computing: Techniques and Applications Conf., 2010, pp. 480–485. – volume: 19 start-page: 580 year: 1997 end-page: 593 ident: b0050 article-title: In defense of the eight-point algorithm publication-title: IEEE Trans. Pattern Anal. Mach. Intell. – volume: 7 start-page: 465 year: 2013 end-page: 484 ident: b0030 article-title: On the dimension of the set of two-view multi-homography matrices publication-title: Complex Anal. Oper. Theory – reference: A. Eriksson, A. van den Hengel, Optimization on the manifold of multiple homographies, in: Proc. 12th Int. Conf. Computer Vision Workshops, 2011, pp. 242–249. – reference: C.G. Harris, M. Stephens, A combined corner and edge detector, in: Proc. Fourth Alvey Vision Conference, 1988, pp. 147–151. – year: 2004 ident: b0055 article-title: Multiple View Geometry in Computer Vision – year: 2005 ident: b0070 article-title: An Invitation to 3-D Vision: From Images to Geometric Models – reference: A. Shashua, S. Avidan, The rank 4 constraint in multiple ( – volume: 28 start-page: 19 year: 2007 end-page: 27 ident: b0015 article-title: On the consistency of the normalized eight-point algorithm publication-title: J. Math. Imag. Vis. – volume: 24 start-page: 214 year: 2002 end-page: 223 ident: b0085 article-title: Multiview constraints on homographies publication-title: IEEE Trans. Pattern Anal. Mach. Intell. – reference: S. Baker, A. Datta, T. Kanade, Parameterizing homographies, Tech. Rep. CMU-RI-TR-06-11, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, 2006. – volume: E83-D start-page: 1369 year: 2000 end-page: 1374 ident: b0060 article-title: Optimal homography computation with a reliability measure publication-title: IEICE Trans. Inf. Syst. – reference: ) view geometry, in: Proc. 4th European Conf. Computer Vision, 1996, pp. 196–206. – year: 1996 ident: b0065 article-title: Handbook of Matrices – year: 1995 ident: b0075 article-title: Numerical Recipes in C – volume: 7 start-page: 465 year: 2013 ident: 10.1016/j.cviu.2014.04.008_b0030 article-title: On the dimension of the set of two-view multi-homography matrices publication-title: Complex Anal. Oper. Theory doi: 10.1007/s11785-012-0225-y – volume: E83-D start-page: 1369 year: 2000 ident: 10.1016/j.cviu.2014.04.008_b0060 article-title: Optimal homography computation with a reliability measure publication-title: IEICE Trans. Inf. Syst. – volume: 28 start-page: 19 year: 2007 ident: 10.1016/j.cviu.2014.04.008_b0015 article-title: On the consistency of the normalized eight-point algorithm publication-title: J. Math. Imag. Vis. doi: 10.1007/s10851-007-0009-6 – ident: 10.1016/j.cviu.2014.04.008_b0035 – ident: 10.1016/j.cviu.2014.04.008_b0005 – volume: 25 start-page: 1172 year: 2003 ident: 10.1016/j.cviu.2014.04.008_b0020 article-title: Revisiting Hartley’s normalized eight-point algorithm publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/TPAMI.2003.1227992 – ident: 10.1016/j.cviu.2014.04.008_b0025 doi: 10.1109/ICCV.2011.6126485 – year: 1996 ident: 10.1016/j.cviu.2014.04.008_b0065 – volume: 81 start-page: 205 year: 2009 ident: 10.1016/j.cviu.2014.04.008_b0010 article-title: Rank constraints for homographies over two views: revisiting the rank four constraint publication-title: Int. J. Comput. Vis. doi: 10.1007/s11263-008-0167-z – ident: 10.1016/j.cviu.2014.04.008_b0045 doi: 10.5244/C.2.23 – year: 2004 ident: 10.1016/j.cviu.2014.04.008_b0055 – year: 1995 ident: 10.1016/j.cviu.2014.04.008_b0075 – ident: 10.1016/j.cviu.2014.04.008_b0080 doi: 10.1007/3-540-61123-1_139 – volume: 19 start-page: 580 year: 1997 ident: 10.1016/j.cviu.2014.04.008_b0050 article-title: In defense of the eight-point algorithm publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/34.601246 – volume: 24 start-page: 214 year: 2002 ident: 10.1016/j.cviu.2014.04.008_b0085 article-title: Multiview constraints on homographies publication-title: IEEE Trans. Pattern Anal. Mach. Intell. doi: 10.1109/34.982901 – year: 2005 ident: 10.1016/j.cviu.2014.04.008_b0070 – ident: 10.1016/j.cviu.2014.04.008_b0040 doi: 10.1109/ICCVW.2009.5457692
SSID	ssj0011491
Score	2.2297568
Snippet	•Practitioners typically estimate multiple homographies separately.•Separate estimation does not enforce inter-homography constraints.•We jointly estimate... Two images of a scene consisting of multiple flat surfaces are related by a collection of homography matrices. Practitioners typically estimate these...
SourceID	proquest pascalfrancis crossref elsevier
SourceType	Aggregation Database Index Database Enrichment Source Publisher
StartPage	200
SubjectTerms	Applied sciences Artificial intelligence Cameras Collection Computer science; control theory; systems Computer vision Cost function Data points Estimates Exact sciences and technology Fittings Latent variables Mathematics Maximum likelihood Multiple homographies Parameter estimation Parametric inference Pattern recognition. Digital image processing. Computational geometry Probability and statistics Sampson distance Sciences and techniques of general use Statistics
Title	Sampson distance based joint estimation of multiple homographies with uncalibrated cameras
URI	https://dx.doi.org/10.1016/j.cviu.2014.04.008 https://www.proquest.com/docview/1551101723
Volume	125
WOSCitedRecordID	wos000337930600014&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVESC databaseName: Elsevier SD Freedom Collection Journals 2021 customDbUrl: eissn: 1090-235X dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0011491 issn: 1077-3142 databaseCode: AIEXJ dateStart: 19950101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1ba9swFBah3cPG2KXbWHcpGuwtONi6RPZjGB3bKGXQjoW-GEWW1mSNHeokdPtR-407siTHWVnZBoNgghJLwufzuelcEHrNbB9JMYkjrpmJGEg4eKUyFolY6GQ4MYWkTaLwkTg-Tsfj7GOv9yPkwqwvRFmmV1fZ4r-SGsaA2DZ19i_I3U4KA_AdiA5XIDtc_4jwJ7KJ8LBHL8smH8AKqqI_q6blsm9rasxbLbGNJjyv5q50NdjNzjUL4k42prTVSJW0rqu6q8iGbhB9l5zuziDmNgBo1U2XaR043xey4btn377MV7CRo8EmsKCalVK59tmfqxkwG9X6qIFNf619UtiomTj8YvOugGeC3LRhub4OgseY92IkrI2h8661kF6zFf0Jpql1orryWwPtx7I4IpSPt1g44V0mHMcdeU5crus1UeG8FrOBWk9XNsSPNSVv43QjGNtwxRO7EbsPsEatTgoif5cInqU7aHf0_nD8oT23AnszcVGubuM-TctFFP660u9UobsLWQONjeusck1JaDSf0wfonjdZ8MhB7SHq6XIP3ffmC_bCoYahgIkwtofudMpdPkJnHpo4QBM30MQNNPEGmrgyOEATd6GJLTRxF5rYQ_Mx-vT28PTNu8j39ogUi8UyKoQiRKsiBSk3TCapKDhLJB1yIjNKidLEaKo51UOjRaZBpTKSTbJMcCNipjR9gnbKqtRPEWZgccNkqWSaMllwyYwkhptE0TSlCd1HSXjMufKF723_lYs8RDjOckua3JImj-ETp_uo396zcGVfbvw3D9TLveLqFNIcwHbjfQdbpG6XIvBMQIOBrb8KtM-B7duzPFnqalXn1tKx0pTQZ_-4-HN0e_MivkA7y8uVfoluqfVyWl8eeGD_BIEF2KM
linkProvider	Elsevier
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Sampson+distance+based+joint+estimation+of+multiple+homographies+with+uncalibrated+cameras&rft.jtitle=Computer+vision+and+image+understanding&rft.au=Szpak%2C+Zygmunt+L.&rft.au=Chojnacki%2C+Wojciech&rft.au=Eriksson%2C+Anders&rft.au=van+den+Hengel%2C+Anton&rft.date=2014-08-01&rft.pub=Elsevier+Inc&rft.issn=1077-3142&rft.eissn=1090-235X&rft.volume=125&rft.spage=200&rft.epage=213&rft_id=info:doi/10.1016%2Fj.cviu.2014.04.008&rft.externalDocID=S1077314214000952
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1077-3142&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1077-3142&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1077-3142&client=summon