Towards Globally Optimal Normal Orientations for Large Point Clouds

Various processing algorithms on point set surfaces rely on consistently oriented normals (e.g. Poisson surface reconstruction). While several approaches exist for the calculation of normal directions, in most cases, their orientation has to be determined in a subsequent step. This paper generalizes...

Full description

Saved in:

Bibliographic Details
Published in:	Computer graphics forum Vol. 36; no. 1; pp. 197 - 208
Main Authors:	Schertler, Nico, Savchynskyy, Bogdan, Gumhold, Stefan
Format:	Journal Article
Language:	English
Published:	Oxford Blackwell Publishing Ltd 01.01.2017
Subjects:	Algorithms computational geometry digital geometry processing Energy conservation Graphs I.3.5 [Computer Graphics]: Computational Geometry and Object Modelling‐Geometric algorithms, languages and systems Mathematical analysis modelling Optimization Orientation Patches (structures) Propagation Reconstruction Solvers Tasks Three dimensional models
ISSN:	0167-7055, 1467-8659
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Abstract	Various processing algorithms on point set surfaces rely on consistently oriented normals (e.g. Poisson surface reconstruction). While several approaches exist for the calculation of normal directions, in most cases, their orientation has to be determined in a subsequent step. This paper generalizes propagation‐based approaches by reformulating the task as a graph‐based energy minimization problem. By applying global solvers, we can achieve more consistent orientations than simple greedy optimizations. Furthermore, we present a streaming‐based framework for orienting large point clouds. This framework orients patches locally and generates a globally consistent patch orientation on a reduced neighbour graph, which achieves similar quality to orienting the full graph. Various processing algorithms on point set surfaces rely on consistently oriented normals (e.g. Poisson surface reconstruction).While several approaches exist for the calculation of normal directions, in most cases, their orientation has to be determined in a subsequent step. This paper generalizes propagation‐based approaches by reformulating the task as a graph‐based energy minimization problem and presents a streaming‐based out‐of‐core implementation.
AbstractList	Various processing algorithms on point set surfaces rely on consistently oriented normals (e.g. Poisson surface reconstruction). While several approaches exist for the calculation of normal directions, in most cases, their orientation has to be determined in a subsequent step. This paper generalizes propagation-based approaches by reformulating the task as a graph-based energy minimization problem. By applying global solvers, we can achieve more consistent orientations than simple greedy optimizations. Furthermore, we present a streaming-based framework for orienting large point clouds. This framework orients patches locally and generates a globally consistent patch orientation on a reduced neighbour graph, which achieves similar quality to orienting the full graph. Various processing algorithms on point set surfaces rely on consistently oriented normals (e.g. Poisson surface reconstruction).While several approaches exist for the calculation of normal directions, in most cases, their orientation has to be determined in a subsequent step. This paper generalizes propagation-based approaches by reformulating the task as a graph-based energy minimization problem and presents a streaming-based out-of-core implementation. Various processing algorithms on point set surfaces rely on consistently oriented normals (e.g. Poisson surface reconstruction). While several approaches exist for the calculation of normal directions, in most cases, their orientation has to be determined in a subsequent step. This paper generalizes propagation‐based approaches by reformulating the task as a graph‐based energy minimization problem. By applying global solvers, we can achieve more consistent orientations than simple greedy optimizations. Furthermore, we present a streaming‐based framework for orienting large point clouds. This framework orients patches locally and generates a globally consistent patch orientation on a reduced neighbour graph, which achieves similar quality to orienting the full graph. Various processing algorithms on point set surfaces rely on consistently oriented normals (e.g. Poisson surface reconstruction).While several approaches exist for the calculation of normal directions, in most cases, their orientation has to be determined in a subsequent step. This paper generalizes propagation‐based approaches by reformulating the task as a graph‐based energy minimization problem and presents a streaming‐based out‐of‐core implementation. Various processing algorithms on point set surfaces rely on consistently oriented normals (e.g. Poisson surface reconstruction). While several approaches exist for the calculation of normal directions, in most cases, their orientation has to be determined in a subsequent step. This paper generalizes propagation-based approaches by reformulating the task as a graph-based energy minimization problem. By applying global solvers, we can achieve more consistent orientations than simple greedy optimizations. Furthermore, we present a streaming-based framework for orienting large point clouds. This framework orients patches locally and generates a globally consistent patch orientation on a reduced neighbour graph, which achieves similar quality to orienting the full graph.
Author	Schertler, Nico Savchynskyy, Bogdan Gumhold, Stefan
Author_xml	– sequence: 1 givenname: Nico surname: Schertler fullname: Schertler, Nico email: nico.schertler@tu-dresden.de organization: TU Dresden – sequence: 2 givenname: Bogdan surname: Savchynskyy fullname: Savchynskyy, Bogdan email: bogdan.savchynskyy@tu-dresden.de organization: TU Dresden – sequence: 3 givenname: Stefan surname: Gumhold fullname: Gumhold, Stefan email: stefan.gumhold@tu-dresden.de organization: TU Dresden
BookMark	eNp1kE9PAjEQxRuDiYAe_AabeNHDQrv079FsBE2IeMBz0227ZEnZYrvE8O0tLieic5mZ5PdeZt4IDFrfWgDuEZygVFO9qSeoYIJcgSHClOWcEjEAQ4jSzCAhN2AU4xZCiBklQ1Cu_bcKJmYL5yvl3DFb7btmp1z27sOprUJj2051jW9jVvuQLVXY2OzDN22Xlc4fTLwF17Vy0d6d-xh8zl_W5Wu-XC3eyudlrmeUkNxQrCvNsGDGkAoXpIBccaUIn5G0awsVN5gVGloqKlIrok3BBUSsrg1VxWwMHnvfffBfBxs7uWuits6p1vpDlIhzjJItxgl9uEC3_hDadJ1EAlKRDhIiUdOe0sHHGGwtddO_2gXVOImgPIUqU6jyN9SkeLpQ7ENKKxz_ZM_u342zx_9BWS7mveIH8-qHMw
CitedBy_id	crossref_primary_10_1016_j_cagd_2023_102195 crossref_primary_10_1145_3731212 crossref_primary_10_1016_j_gmod_2024_101216 crossref_primary_10_1109_TPAMI_2024_3431221 crossref_primary_10_1016_j_cad_2022_103281 crossref_primary_10_1109_JSTARS_2020_2969119 crossref_primary_10_1109_TVCG_2024_3429401 crossref_primary_10_1111_cgf_14487 crossref_primary_10_1145_3306346_3322994 crossref_primary_10_1007_s00530_025_01870_x crossref_primary_10_1111_cgf_13797
Cites_doi	10.1109/ICCV.2007.4408907 10.1109/VISUAL.2005.1532801 10.1109/CVPR.2015.7298973 10.1109/VISUAL.2003.1250359 10.1007/978-3-642-33885-4_31 10.1080/14786440109462720 10.1007/978-3-540-88690-7_8 10.1109/CVPR.2007.383203 10.1109/ICCV.2011.6126347 10.1007/s11263-015-0809-x 10.1145/1275808.1276407 10.1109/CVPR.2014.151 10.1016/j.cag.2010.03.003 10.1007/978-3-642-23094-3_3 10.1016/j.cag.2011.03.012 10.1109/CGI.2004.1309188 10.1109/CVPR.2014.17 10.1007/s00371-011-0607-6 10.1109/CVPR.2014.149 10.1145/133994.134011 10.1145/1661412.1618522 10.1109/TPAMI.2004.1262177 10.1111/cgf.12189 10.1145/1179352.1141992 10.1109/ISBI.2012.6235726 10.1111/j.1467-8659.2010.01782.x
ContentType	Journal Article
Copyright	2016 The Authors Computer Graphics Forum © 2016 The Eurographics Association and John Wiley & Sons Ltd. 2017 The Eurographics Association and John Wiley & Sons Ltd.
Copyright_xml	– notice: 2016 The Authors Computer Graphics Forum © 2016 The Eurographics Association and John Wiley & Sons Ltd. – notice: 2017 The Eurographics Association and John Wiley & Sons Ltd.
DBID	AAYXX CITATION 7SC 8FD JQ2 L7M L~C L~D F28 FR3
DOI	10.1111/cgf.12795
DatabaseName	CrossRef 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 ANTE: Abstracts in New Technology & Engineering Engineering Research Database
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 Engineering Research Database ANTE: Abstracts in New Technology & Engineering
DatabaseTitleList	Technology Research Database Computer and Information Systems Abstracts CrossRef
DeliveryMethod	fulltext_linktorsrc
Discipline	Engineering
EISSN	1467-8659
EndPage	208
ExternalDocumentID	10_1111_cgf_12795 CGF12795
Genre	article
GrantInformation_xml	– fundername: European Social Fund funderid: 100226943
GroupedDBID	.3N .4S .DC .GA .Y3 05W 0R~ 10A 15B 1OB 1OC 29F 31~ 33P 3SF 4.4 50Y 50Z 51W 51X 52M 52N 52O 52P 52S 52T 52U 52W 52X 5GY 5HH 5LA 5VS 66C 6J9 702 7PT 8-0 8-1 8-3 8-4 8-5 8UM 8VB 930 A03 AAESR AAEVG AAHQN AAMMB AAMNL AANHP AANLZ AAONW AASGY AAXRX AAYCA AAZKR ABCQN ABCUV ABDBF ABDPE ABEML ABPVW ACAHQ ACBWZ ACCZN ACFBH ACGFS ACPOU ACRPL ACSCC ACUHS ACXBN ACXQS ACYXJ ADBBV ADEOM ADIZJ ADKYN ADMGS ADMLS ADNMO ADOZA ADXAS ADZMN AEFGJ AEGXH AEIGN AEIMD AEMOZ AENEX AEUYR AEYWJ AFBPY AFEBI AFFNX AFFPM AFGKR AFWVQ AFZJQ AGHNM AGQPQ AGXDD AGYGG AHBTC AHEFC AHQJS AIDQK AIDYY AIQQE AITYG AIURR AJXKR AKVCP ALAGY ALMA_UNASSIGNED_HOLDINGS ALUQN ALVPJ AMBMR AMYDB ARCSS ASPBG ATUGU AUFTA AVWKF AZBYB AZFZN AZVAB BAFTC BDRZF BFHJK BHBCM BMNLL BMXJE BNHUX BROTX BRXPI BY8 CAG COF CS3 CWDTD D-E D-F DCZOG DPXWK DR2 DRFUL DRSTM DU5 EAD EAP EBA EBO EBR EBS EBU EDO EJD EMK EST ESX F00 F01 F04 F5P FEDTE FZ0 G-S G.N GODZA H.T H.X HF~ HGLYW HVGLF HZI HZ~ I-F IHE IX1 J0M K1G K48 LATKE LC2 LC3 LEEKS LH4 LITHE LOXES LP6 LP7 LUTES LW6 LYRES MEWTI MK4 MRFUL MRSTM MSFUL MSSTM MXFUL MXSTM N04 N05 N9A NF~ O66 O9- OIG P2W P2X P4D PALCI PQQKQ Q.N Q11 QB0 QWB R.K RDJ RIWAO RJQFR ROL RX1 SAMSI SUPJJ TH9 TN5 TUS UB1 V8K W8V W99 WBKPD WIH WIK WOHZO WQJ WXSBR WYISQ WZISG XG1 ZL0 ZZTAW ~IA ~IF ~WT AAYXX CITATION O8X 7SC 8FD JQ2 L7M L~C L~D F28 FR3
ID	FETCH-LOGICAL-c3655-d64cbc7497dd5b425208a8aa58355b4ce0a8d472c0e69b5fa5cd289017ffd6a23
IEDL.DBID	DRFUL
ISICitedReferencesCount	28
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000395008400014&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	0167-7055
IngestDate	Sun Nov 09 10:59:04 EST 2025 Sun Nov 30 05:20:34 EST 2025 Tue Nov 18 21:18:12 EST 2025 Sat Nov 29 07:53:06 EST 2025 Sun Sep 21 06:24:04 EDT 2025
IsDoiOpenAccess	false
IsOpenAccess	true
IsPeerReviewed	true
IsScholarly	true
Issue	1
Language	English
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c3655-d64cbc7497dd5b425208a8aa58355b4ce0a8d472c0e69b5fa5cd289017ffd6a23
Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23
OpenAccessLink	https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/cgf.12795
PQID	1906936599
PQPubID	30877
PageCount	12
ParticipantIDs	proquest_miscellaneous_1884125244 proquest_journals_1906936599 crossref_citationtrail_10_1111_cgf_12795 crossref_primary_10_1111_cgf_12795 wiley_primary_10_1111_cgf_12795_CGF12795
PublicationCentury	2000
PublicationDate	January 2017 2017-01-00 20170101
PublicationDateYYYYMMDD	2017-01-01
PublicationDate_xml	– month: 01 year: 2017 text: January 2017
PublicationDecade	2010
PublicationPlace	Oxford
PublicationPlace_xml	– name: Oxford
PublicationTitle	Computer graphics forum
PublicationYear	2017
Publisher	Blackwell Publishing Ltd
Publisher_xml	– name: Blackwell Publishing Ltd
References	2010; 34 2012 2015; 115 2011 2013; 32 2010; 29 2004; 26 2009 2008 2007 2006 2005 2011; 35 2015 2004 1901; 2 2012; 28 2014 1992 2003 1991 2013 e_1_2_9_30_1 e_1_2_9_31_1 e_1_2_9_11_1 e_1_2_9_10_1 e_1_2_9_13_1 e_1_2_9_32_1 e_1_2_9_12_1 e_1_2_9_33_1 e_1_2_9_15_1 e_1_2_9_14_1 e_1_2_9_17_1 e_1_2_9_16_1 e_1_2_9_19_1 e_1_2_9_18_1 Berger M. (e_1_2_9_8_1) 2014 e_1_2_9_20_1 e_1_2_9_22_1 e_1_2_9_21_1 e_1_2_9_24_1 e_1_2_9_23_1 e_1_2_9_7_1 e_1_2_9_6_1 e_1_2_9_5_1 e_1_2_9_4_1 e_1_2_9_3_1 e_1_2_9_2_1 e_1_2_9_9_1 e_1_2_9_26_1 e_1_2_9_25_1 e_1_2_9_28_1 e_1_2_9_27_1 e_1_2_9_29_1
References_xml	– volume: 2 start-page: 559 issue: 11 year: 1901 end-page: 572 article-title: LIII. On lines and planes of closest fit to systems of points in space publication-title: Philosophical Magazine – start-page: 1049 year: 2006 end-page: 1056 – start-page: 176:1 year: 2009 end-page: 176:7 – start-page: 1 year: 2007 end-page: 8 – volume: 34 start-page: 209 issue: 3 year: 2010 end-page: 218 article-title: Orienting unorganized points for surface reconstruction publication-title: Computers & Graphics – start-page: 31 year: 2011 end-page: 44 – start-page: 18 year: 2004 end-page: 25 – start-page: 1154 year: 2014 end-page: 1161 – year: 2007 – volume: 29 start-page: 1733 issue: 5 year: 2010 end-page: 1741 article-title: Signing the unsigned: Robust surface reconstruction from raw pointsets publication-title: Computer Graphics Forum – start-page: 39 year: 2007 end-page: 48 – start-page: 1020 year: 2011 end-page: 1027 – start-page: 239 year: 2005 end-page: 246 – start-page: 71 year: 1992 end-page: 78 – year: 2014 – volume: 26 start-page: 147 issue: 2 year: 2004 end-page: 159 article-title: What energy functions can be minimized via graph cuts publication-title: IEEE Transactions on Pattern Analysis and Machine Intelligence – year: 2012 – volume: 35 start-page: 492 issue: 3 year: 2011 end-page: 499 article-title: Harmonic point cloud orientation publication-title: Computers & Graphics – volume: 32 start-page: 229 issue: 5 year: 2013 end-page: 238 article-title: Noise‐adaptive shape reconstruction from raw point sets publication-title: Computer Graphics Forum – start-page: 83 year: 2009 end-page: 92 – volume: 115 start-page: 1 year: 2015 end-page: 30 article-title: A comparative study of modern inference techniques for structured discrete energy minimization problems publication-title: International Journal of Computer Vision – start-page: 1000 year: 2012 end-page: 1003 – volume: 28 start-page: 163 issue: 2 year: 2012 end-page: 174 article-title: A variational model for normal computation of point clouds publication-title: The Visual Computer – start-page: 91 year: 2003 end-page: 98 – start-page: 1138 year: 2014 end-page: 1145 – year: 1991 – start-page: 305 year: 2012 end-page: 314 – year: 2015 – start-page: 98 year: 2008 end-page: 111 – year: 2013 – ident: e_1_2_9_24_1 doi: 10.1109/ICCV.2007.4408907 – ident: e_1_2_9_28_1 doi: 10.1109/VISUAL.2005.1532801 – ident: e_1_2_9_5_1 doi: 10.1109/CVPR.2015.7298973 – ident: e_1_2_9_6_1 – ident: e_1_2_9_33_1 doi: 10.1109/VISUAL.2003.1250359 – ident: e_1_2_9_27_1 doi: 10.1007/978-3-642-33885-4_31 – ident: e_1_2_9_29_1 doi: 10.1080/14786440109462720 – ident: e_1_2_9_3_1 doi: 10.1007/978-3-540-88690-7_8 – ident: e_1_2_9_19_1 – ident: e_1_2_9_30_1 doi: 10.1109/CVPR.2007.383203 – ident: e_1_2_9_10_1 doi: 10.1109/ICCV.2011.6126347 – ident: e_1_2_9_4_1 – ident: e_1_2_9_18_1 doi: 10.1007/s11263-015-0809-x – ident: e_1_2_9_2_1 – ident: e_1_2_9_21_1 – ident: e_1_2_9_22_1 doi: 10.1145/1275808.1276407 – ident: e_1_2_9_12_1 doi: 10.1109/CVPR.2014.151 – ident: e_1_2_9_25_1 doi: 10.1016/j.cag.2010.03.003 – ident: e_1_2_9_20_1 doi: 10.1007/978-3-642-23094-3_3 – ident: e_1_2_9_31_1 doi: 10.1016/j.cag.2011.03.012 – ident: e_1_2_9_9_1 doi: 10.1109/CGI.2004.1309188 – ident: e_1_2_9_7_1 doi: 10.1109/CVPR.2014.17 – ident: e_1_2_9_32_1 doi: 10.1007/s00371-011-0607-6 – ident: e_1_2_9_11_1 doi: 10.1109/CVPR.2014.149 – ident: e_1_2_9_15_1 doi: 10.1145/133994.134011 – ident: e_1_2_9_16_1 doi: 10.1145/1661412.1618522 – ident: e_1_2_9_23_1 doi: 10.1109/TPAMI.2004.1262177 – ident: e_1_2_9_13_1 doi: 10.1111/cgf.12189 – ident: e_1_2_9_17_1 doi: 10.1145/1179352.1141992 – ident: e_1_2_9_14_1 doi: 10.1109/ISBI.2012.6235726 – ident: e_1_2_9_26_1 doi: 10.1111/j.1467-8659.2010.01782.x – volume-title: Eurographics 2014 ‐ State of the Art Reports year: 2014 ident: e_1_2_9_8_1
SSID	ssj0004765
Score	2.307383
Snippet	Various processing algorithms on point set surfaces rely on consistently oriented normals (e.g. Poisson surface reconstruction). While several approaches exist...
SourceID	proquest crossref wiley
SourceType	Aggregation Database Enrichment Source Index Database Publisher
StartPage	197
SubjectTerms	Algorithms computational geometry digital geometry processing Energy conservation Graphs I.3.5 [Computer Graphics]: Computational Geometry and Object Modelling‐Geometric algorithms, languages and systems Mathematical analysis modelling Optimization Orientation Patches (structures) Propagation Reconstruction Solvers Tasks Three dimensional models
Title	Towards Globally Optimal Normal Orientations for Large Point Clouds
URI	https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fcgf.12795 https://www.proquest.com/docview/1906936599 https://www.proquest.com/docview/1884125244
Volume	36
WOSCitedRecordID	wos000395008400014&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: PRVWIB databaseName: Wiley Online Library Full Collection 2020 customDbUrl: eissn: 1467-8659 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0004765 issn: 0167-7055 databaseCode: DRFUL dateStart: 19970101 isFulltext: true titleUrlDefault: https://onlinelibrary.wiley.com providerName: Wiley-Blackwell
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3PS8MwFH7MzYMe_C1Op0Tx4KXSdk3T4Emm08PYhmywW0mTTAazlXUT_O996dpugoLgraEvJCR5eV-S974HcB1ILkx-NMtWSliGAcwSdsAtKgJXIz5nrszY9Tus2w1GI96vwF0RC7Pkhygv3IxmZPu1UXARpWtKLl_Ht47LON2Amovr1qtC7eGlPeyswiKZTwtqb0MakxMLGUeesvJ3c7TCmOtINTM17d1_dXIPdnKESe6XS2IfKjo-gO013sFDaA0yZ9mULBn_p5-khzvHG9bqGgg7Jb3ZJI9JilOCsJZ0jMM46SeTeE5a02Sh0iMYth8HrWcrz6ZgyaZPqaV8T0aSeZwpRSNUVdcORCAERQyGZaltESgP58bWPo_oWFCpzCukw8Zj5Qu3eQzVOIn1CRBPM-WyyMHTreNFeIj2GNUCsYA0TnNc1OGmGNRQ5lTjJuPFNCyOHDguYTYudbgqRd-X_Bo_CTWKmQlzFUtDRDI-N83xOlyWv1E5zIuHiHWyQBnsGiI4hDDYpWyefm8kbD21s4_Tv4uewZZrzHx2JdOA6ny20OewKT_mk3R2ka_HL2p94RE
linkProvider	Wiley-Blackwell
linkToHtml	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3fS8MwED7mJqgP_hanU6P44Eul65qmAV9kOifWKbLB3kqaZDKYnayb4H_vpWu3CQqCbw29kHC5S74kl-8Azn3JhcmPZtlKCcswgFnC9rlFhe9oxOfMkSm7fsBaLb_b5c8FuMrfwkz5IWYHbsYz0vnaOLg5kF7wcvnau6w6jNMlKLloRrQIpZuXRieYv4tkHs25vQ1rTMYsZCJ5ZpW_r0dzkLkIVdO1prHxv15uwnqGMcn11Ci2oKDjbVhbYB7cgXo7DZdNyJTzf_BJnnDueMNaLQNiB-Rp1M9eJcUJQWBLAhMyTp6H_XhM6oPhRCW70GnctutNK8unYMmaR6mlPFdGkrmcKUUjdFbH9oUvBEUUhmWpbeErF0fH1h6PaE9Qqcw9ZJX1esoTTm0PivEw1vtAXM2Uw6Iq7m-rboTbaJdRLRANSBM2x0UZLnKthjIjGzc5LwZhvulAvYSpXspwNhN9nzJs_CRUyYcmzJwsCRHLeNw0x8twOvuN7mHuPESshxOUwa4hhkMQg11KB-r3RsL6XSP9OPi76AmsNNuPQRjctx4OYdUxi356QFOB4ng00UewLD_G_WR0nBnnF--45QE
linkToPdf	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1bS8MwFD54Q_TBuzivUXzwpdJ1TdOAL7JZFcsc4sC3kiapDGY31k3w33vStXWCguBbQ09IOMmXfElOvgCc-5IL8z6aZSslLKMAZgnb5xYVvqORnzNH5ur6IWu3_ZcX3pmDq_IuzFQfotpwM8jIx2sDcD1UyQzK5WtyWXcYp_Ow6FLuISwXW09BN_y6F8k8Wmp7G9WYQlnIRPJUmb_PR18kc5aq5nNNsP6_Wm7AWsExyfW0U2zCnE63YHVGeXAbms95uGxGppr__Q_yiGPHG-ZqGxLbJ4-jXnErKc0IElsSmpBx0hn00jFp9gcTle1AN7h5bt5ZxXsKlmx4lFrKc2UsmcuZUjRGsDq2L3whKLIwTEttC1-52Dq29nhME0GlMueQdZYkyhNOYxcW0kGq94C4mimHxXVc39bdGJfRLqNaIBuQJmyOixpclF6NZCE2bt686EflogP9EuV-qcFZZTqcKmz8ZHRYNk1UgCyLkMt43BTHa3Ba_UZ4mDMPkerBBG2wasjhkMRglfKG-r2QqHkb5B_7fzc9geVOK4jC-_bDAaw4Zs7P92cOYWE8mugjWJLv4142Oi765iehW-R8
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=Towards+Globally+Optimal+Normal+Orientations+for+Large+Point+Clouds&rft.jtitle=Computer+graphics+forum&rft.au=Schertler%2C+Nico&rft.au=Savchynskyy%2C+Bogdan&rft.au=Gumhold%2C+Stefan&rft.date=2017-01-01&rft.issn=0167-7055&rft.eissn=1467-8659&rft.volume=36&rft.issue=1&rft.spage=197&rft.epage=208&rft_id=info:doi/10.1111%2Fcgf.12795&rft.externalDBID=n%2Fa&rft.externalDocID=10_1111_cgf_12795
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0167-7055&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0167-7055&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0167-7055&client=summon