Texture Defragmentation for Photo‐Reconstructed 3D Models
We propose a method to improve an existing parametrization (UV‐map layout) of a textured 3D model, targeted explicitly at alleviating typical defects afflicting models generated with automatic photo‐reconstruction tools from real‐world objects. This class of 3D data is becoming increasingly importan...
Saved in:
Published in | Computer graphics forum Vol. 40; no. 2; pp. 65 - 78 |
---|---|
Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Oxford
Blackwell Publishing Ltd
01.05.2021
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | We propose a method to improve an existing parametrization (UV‐map layout) of a textured 3D model, targeted explicitly at alleviating typical defects afflicting models generated with automatic photo‐reconstruction tools from real‐world objects. This class of 3D data is becoming increasingly important thanks to the growing popularity of reliable, ready‐to‐use photogrammetry software packages. The resulting textured models are richly detailed, but their underlying parametrization typically falls short of many practical requirements, particularly exhibiting excessive fragmentation and consequent problems. Producing a completely new UV‐map, with standard parametrization techniques, and then resampling a new texture image, is often neither practical nor desirable for at least two reasons: first, these models have characteristics (such as inconsistencies, high resolution) that make them unfit for automatic or manual parametrization; second, the required resampling leads to unnecessary signal degradation because this process is unaware of the original texel densities. In contrast, our method improves the existing UV‐map instead of replacing it, balancing the reduction of the map fragmentation with signal degradation due to resampling, while also avoiding oversampling of the original signal. The proposed approach is fully automatic and extensively tested on a large benchmark of photo‐reconstructed models; quantitative evaluation evidences a drastic and consistent improvement of the mappings. |
---|---|
AbstractList | We propose a method to improve an existing parametrization (UV‐map layout) of a textured 3D model, targeted explicitly at alleviating typical defects afflicting models generated with automatic photo‐reconstruction tools from real‐world objects. This class of 3D data is becoming increasingly important thanks to the growing popularity of reliable, ready‐to‐use photogrammetry software packages. The resulting textured models are richly detailed, but their underlying parametrization typically falls short of many practical requirements, particularly exhibiting excessive fragmentation and consequent problems. Producing a completely new UV‐map, with standard parametrization techniques, and then resampling a new texture image, is often neither practical nor desirable for at least two reasons: first, these models have characteristics (such as inconsistencies, high resolution) that make them unfit for automatic or manual parametrization; second, the required resampling leads to unnecessary signal degradation because this process is unaware of the original texel densities. In contrast, our method improves the existing UV‐map instead of replacing it, balancing the reduction of the map fragmentation with signal degradation due to resampling, while also avoiding oversampling of the original signal. The proposed approach is fully automatic and extensively tested on a large benchmark of photo‐reconstructed models; quantitative evaluation evidences a drastic and consistent improvement of the mappings. Abstract We propose a method to improve an existing parametrization (UV‐map layout) of a textured 3D model, targeted explicitly at alleviating typical defects afflicting models generated with automatic photo‐reconstruction tools from real‐world objects. This class of 3D data is becoming increasingly important thanks to the growing popularity of reliable, ready‐to‐use photogrammetry software packages. The resulting textured models are richly detailed, but their underlying parametrization typically falls short of many practical requirements, particularly exhibiting excessive fragmentation and consequent problems. Producing a completely new UV‐map, with standard parametrization techniques, and then resampling a new texture image, is often neither practical nor desirable for at least two reasons: first, these models have characteristics (such as inconsistencies, high resolution) that make them unfit for automatic or manual parametrization; second, the required resampling leads to unnecessary signal degradation because this process is unaware of the original texel densities. In contrast, our method improves the existing UV‐map instead of replacing it, balancing the reduction of the map fragmentation with signal degradation due to resampling, while also avoiding oversampling of the original signal. The proposed approach is fully automatic and extensively tested on a large benchmark of photo‐reconstructed models; quantitative evaluation evidences a drastic and consistent improvement of the mappings. |
Author | Cignoni, Paolo Maggiordomo, Andrea Tarini, Marco |
Author_xml | – sequence: 1 givenname: Andrea orcidid: 0000-0003-1759-5357 surname: Maggiordomo fullname: Maggiordomo, Andrea organization: University of Milan – sequence: 2 givenname: Paolo orcidid: 0000-0002-2686-8567 surname: Cignoni fullname: Cignoni, Paolo organization: ISTI – CNR – sequence: 3 givenname: Marco orcidid: 0000-0003-2301-3173 surname: Tarini fullname: Tarini, Marco organization: University of Milan |
BookMark | eNp9kMtKAzEUhoNUsK1ufIIBd8LUZHKZGVxJbwoVReo6ZDIntaWd1CSDducj-Iw-iSnj2rM5_-I7_4FvgHqNbQChS4JHJM6NXpkRYZkg_AT1CRN5Wghe9lAfk5hzzPkZGni_wRizXPA-ul3CZ2gdJBMwTq120AQV1rZJjHXJ85sN9ufr-wW0bXxwrQ5QJ3SSPNoatv4cnRq19XDxt4fodTZdju_TxdP8YXy3SDWlgqciVzgrmTY0ywlWnFeioJrVpBaMKzhCmukiZxzTTFRGiQoqxquizEipKqBDdNX17p19b8EHubGta-JLmXEqChLbi0hdd5R21nsHRu7deqfcQRIsj3JklCM7ORHGHfyx3sLhH1KO57OY4skvReVnVw |
CitedBy_id | crossref_primary_10_1111_cgf_14735 crossref_primary_10_1016_j_artmed_2024_102930 crossref_primary_10_1145_3592440 crossref_primary_10_1109_TCSVT_2023_3310522 crossref_primary_10_1145_3550454_3555503 |
Cites_doi | 10.1016/j.cagd.2020.101943 10.1112/plms/s3-13.1.743 10.1111/1467-8659.00580 10.1145/3130800.3130895 10.1145/2897824.2925920 10.1111/1467-8659.00601 10.1145/3130800.3130897 10.1111/j.1467-8659.2011.01990.x 10.1145/3132705 10.1561/0600000011 10.1145/3130800.3130845 10.1109/CVPR.2007.383078 10.1111/j.1467-8659.2008.01290.x 10.1145/566654.566589 10.1111/phor.12063 10.1145/3306346.3323001 10.1145/3272127.3275042 10.1145/566654.566590 10.1111/j.1467-8659.2009.01617.x 10.1145/2766947 10.1109/CVPR.2006.19 10.1016/S0167-8396(96)00031-3 10.1145/383259.383307 10.1145/218380.218440 10.1145/1037957.1037958 10.1017/CBO9780511811685 10.1145/2897824.2925898 10.1145/3072959.3073618 10.1145/1141911.1141926 10.1007/s00454-003-2948-z 10.1145/3197517.3201328 10.1007/3-540-26808-1_9 10.1145/237170.237200 10.1111/j.1467-8659.2010.01746.x 10.1109/CVPR.2017.19 10.1111/cgf.13656 10.1145/3105762.3105780 10.1145/1508044.1508091 10.1111/j.1467-8659.2008.01253.x 10.1111/1467-8659.00257 10.1145/2431211.2431214 10.1145/2983621 |
ContentType | Journal Article |
Copyright | 2021 The Author(s) Computer Graphics Forum © 2021 The Eurographics Association and John Wiley & Sons Ltd. Published by John Wiley & Sons Ltd. 2021 The Eurographics Association and John Wiley & Sons Ltd. |
Copyright_xml | – notice: 2021 The Author(s) Computer Graphics Forum © 2021 The Eurographics Association and John Wiley & Sons Ltd. Published by John Wiley & Sons Ltd. – notice: 2021 The Eurographics Association and John Wiley & Sons Ltd. |
DBID | AAYXX CITATION 7SC 8FD JQ2 L7M L~C L~D |
DOI | 10.1111/cgf.142615 |
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 |
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 CrossRef |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Engineering |
EISSN | 1467-8659 |
EndPage | 78 |
ExternalDocumentID | 10_1111_cgf_142615 CGF14215 |
Genre | article |
GrantInformation_xml | – fundername: ARIADNEplus funderid: 2019-2023 H2020‐INFRAIA‐2018‐1‐823914 |
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 AAHHS AANLZ AAONW AASGY AAXRX AAZKR ABCQN ABCUV ABDBF ABEML ABPVW ACAHQ ACBWZ ACCFJ ACCZN ACFBH ACGFS ACPOU ACSCC ACXBN ACXQS ADBBV ADEOM ADIZJ ADKYN ADMGS ADOZA ADXAS ADZMN ADZOD AEEZP AEGXH AEIGN AEIMD AEMOZ AENEX AEQDE AEUQT AEUYR AFBPY AFEBI AFFNX AFFPM AFGKR AFPWT AFZJQ AHBTC AHEFC AITYG AIURR AIWBW AJBDE AJXKR AKVCP ALAGY ALMA_UNASSIGNED_HOLDINGS ALUQN 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 G8K 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 WRC WXSBR WYISQ WZISG XG1 ZL0 ZZTAW ~IA ~IF ~WT AAYXX CITATION 7SC 8FD JQ2 L7M L~C L~D |
ID | FETCH-LOGICAL-c3365-67a0294cf32710a55b683c4d1d645aec336c4c87450326bfa6beb45b89219abe3 |
IEDL.DBID | DR2 |
ISSN | 0167-7055 |
IngestDate | Thu Oct 10 20:00:48 EDT 2024 Wed Sep 04 12:35:05 EDT 2024 Sat Aug 24 01:05:35 EDT 2024 |
IsDoiOpenAccess | false |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 2 |
Language | English |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c3365-67a0294cf32710a55b683c4d1d645aec336c4c87450326bfa6beb45b89219abe3 |
ORCID | 0000-0003-1759-5357 0000-0002-2686-8567 0000-0003-2301-3173 |
OpenAccessLink | https://air.unimi.it/bitstream/2434/852562/2/2021_texture_defrag_cgf.142615_COMPRESSED.pdf |
PQID | 2536812948 |
PQPubID | 30877 |
PageCount | 14 |
ParticipantIDs | proquest_journals_2536812948 crossref_primary_10_1111_cgf_142615 wiley_primary_10_1111_cgf_142615_CGF14215 |
PublicationCentury | 2000 |
PublicationDate | May 2021 2021-05-00 20210501 |
PublicationDateYYYYMMDD | 2021-05-01 |
PublicationDate_xml | – month: 05 year: 2021 text: May 2021 |
PublicationDecade | 2020 |
PublicationPlace | Oxford |
PublicationPlace_xml | – name: Oxford |
PublicationTitle | Computer graphics forum |
PublicationYear | 2021 |
Publisher | Blackwell Publishing Ltd |
Publisher_xml | – name: Blackwell Publishing Ltd |
References | 2015; 34 2013; 45 2020; 83 2008 2019; 38 2011; 30 1996 2007 1995 2006 2005 2004 2014; 29 2003 2002 2016; 35 2005; 24 2004; 31 1998; 17 2017; 37 2001 2000 2017; 36 2010; 29 1997; 14 2002; 21 2006; 25 2008; 27 1963; 3 2017 2016 2007; 2 2018; 37 e_1_2_8_28_2 e_1_2_8_49_2 e_1_2_8_24_2 e_1_2_8_45_2 e_1_2_8_26_2 e_1_2_8_47_2 e_1_2_8_9_2 e_1_2_8_3_2 e_1_2_8_5_2 e_1_2_8_7_2 e_1_2_8_20_2 e_1_2_8_41_2 e_1_2_8_22_2 e_1_2_8_43_2 e_1_2_8_17_2 e_1_2_8_38_2 e_1_2_8_19_2 e_1_2_8_34_2 e_1_2_8_15_2 e_1_2_8_36_2 e_1_2_8_30_2 e_1_2_8_11_2 e_1_2_8_32_2 e_1_2_8_51_2 e_1_2_8_27_2 e_1_2_8_29_2 e_1_2_8_23_2 e_1_2_8_46_2 e_1_2_8_25_2 e_1_2_8_48_2 e_1_2_8_2_2 e_1_2_8_4_2 e_1_2_8_6_2 e_1_2_8_8_2 e_1_2_8_42_2 e_1_2_8_21_2 e_1_2_8_44_2 e_1_2_8_40_2 Hormann K. (e_1_2_8_13_2) 2000 e_1_2_8_16_2 e_1_2_8_39_2 e_1_2_8_18_2 e_1_2_8_12_2 e_1_2_8_35_2 e_1_2_8_14_2 e_1_2_8_37_2 e_1_2_8_31_2 e_1_2_8_10_2 e_1_2_8_33_2 e_1_2_8_50_2 |
References_xml | – volume: 45 issue: 2 year: 2013 article-title: Polygon mesh repairing: An application perspective publication-title: ACM Comput. Surv. – start-page: 1 year: 2007 end-page: 6 – start-page: 157 year: 2005 end-page: 186 – start-page: 87 year: 2002 end-page: 98 – start-page: 291 year: 2002 end-page: 298 – volume: 35 issue: 4 year: 2016 article-title: Accelerated quadratic proxy for geometric optimization publication-title: ACM Trans. Graph. – start-page: 1155 year: 2008 end-page: 1164 – volume: 25 start-page: 579 issue: 3 year: 2006 end-page: 588 article-title: Perfect spatial hashing publication-title: ACM Trans. Graph. – volume: 36 issue: 6 year: 2017 article-title: Simplicial complex augmentation framework for bijective maps publication-title: ACM Trans. Graph. – start-page: 43 year: 1996 end-page: 54 – volume: 2 start-page: 105 issue: 2 year: 2007 end-page: 171 article-title: Mesh parameterization methods and their applications publication-title: Foundations and Trends® in Computer Graphics and Vision – volume: 36 issue: 4 year: 2017 article-title: Geometric optimization via composite majorization publication-title: ACM Trans. Graph. – start-page: 153 year: 2000 end-page: 162 article-title: MIPS: An efficient global parametrization method – volume: 24 start-page: 1 issue: 1 year: 2005 end-page: 27 article-title: Feature-based surface parameterization and texture mapping publication-title: ACM Trans. Graph. – volume: 37 issue: 6 year: 2018 article-title: Optcuts: Joint optimization of surface cuts and parameterization publication-title: ACM Trans. Graph. – volume: 34 issue: 4 year: 2015 article-title: Bijective parameterization with free boundaries publication-title: ACM Trans. Graph. – year: 2008 – year: 2004 – start-page: 105 year: 2017 end-page: 114 – volume: 29 start-page: 144 issue: 146 year: 2014 end-page: 166 article-title: State of the art in high density image matching publication-title: The Photogrammetric Record – volume: 14 start-page: 231 issue: 3 year: 1997 end-page: 250 article-title: Parametrization and smooth approximation of surface triangulations publication-title: Computer Aided Geometric Design – volume: 36 issue: 2 year: 2017 article-title: Scalable locally injective mappings publication-title: ACM Trans. Graph. – volume: 83 year: 2020 article-title: Real-world textured things: A repository of textured models generated with modern photo-reconstruction tools publication-title: Computer Aided Geometric Design – volume: 37 issue: 1 year: 2017 article-title: Boundary first flattening publication-title: ACM Trans. Graph. – volume: 21 start-page: 355 issue: 3 year: 2002 end-page: 361 article-title: Geometry images publication-title: ACM Trans. Graph. – volume: 17 start-page: 97 issue: 3 year: 1998 end-page: 104 article-title: Importance driven texture coordinate optimization publication-title: Computer Graphics Forum – volume: 31 start-page: 37 issue: 1 year: 2004 end-page: 59 article-title: Optimally cutting a surface into a disk publication-title: Discrete & Computational Geometry – volume: 37 issue: 4 year: 2018 article-title: Box cutter: Atlas refinement for efficient packing via void elimination publication-title: ACM Trans. Graph. – start-page: 409 year: 2001 end-page: 416 – year: 2003 – start-page: 173 year: 1995 end-page: 182 – start-page: 355 year: 2002 end-page: 362 – volume: 3 start-page: 743 issue: 1 year: 1963 end-page: 767 article-title: How to draw a graph publication-title: Proceedings of the London Mathematical Society – volume: 35 issue: 4 year: 2016 article-title: Volume-encoded uv-maps publication-title: ACM Trans. Graph. – volume: 29 start-page: 479 issue: 2 year: 2010 end-page: 486 article-title: Seamless montage for texturing models publication-title: Computer Graphics Forum – year: 2016 – start-page: 411 year: 2002 end-page: 420 – volume: 21 start-page: 362 issue: 3 year: 2002 end-page: 371 article-title: Least squares conformal maps for automatic texture atlas generation publication-title: ACM Trans. Graph. – start-page: 519 year: 2006 end-page: 528 – volume: 30 start-page: 1309 issue: 4 year: 2011 end-page: 1317 article-title: Efficient packing of arbitrary shaped charts for automatic texture atlas generation publication-title: Computer Graphics Forum – volume: 21 start-page: 209 issue: 3 year: 2002 end-page: 218 article-title: Intrinsic parameterizations of surface meshes publication-title: Computer Graphics Forum – volume: 27 start-page: 1495 issue: 5 year: 2008 end-page: 1504 article-title: A local/global approach to mesh parameterization publication-title: Computer Graphics Forum – volume: 38 issue: 4 year: 2019 article-title: Atlas refinement with bounded packing efficiency publication-title: ACM Trans. Graph. – start-page: 109 year: 2007 end-page: 116 – volume: 36 issue: 6 year: 2017 article-title: Autocuts: Simultaneous distortion and cut optimization for uv mapping publication-title: ACM Trans. Graph. – start-page: 457 year: 2003 end-page: 464 – volume: 29 start-page: 1489 issue: 4 year: 2010 end-page: 1496 article-title: Invisible seams publication-title: Computer Graphics Forum – volume: 36 issue: 6 year: 2017 article-title: Seamless: Seam erasure and seam-aware decoupling of shape from mesh resolution publication-title: ACM Trans. Graph. – volume: 38 start-page: 535 issue: 2 year: 2019 end-page: 551 article-title: Rethinking texture mapping publication-title: Computer Graphics Forum – year: 2017 – ident: e_1_2_8_27_2 doi: 10.1016/j.cagd.2020.101943 – ident: e_1_2_8_48_2 doi: 10.1112/plms/s3-13.1.743 – ident: e_1_2_8_5_2 doi: 10.1111/1467-8659.00580 – ident: e_1_2_8_16_2 doi: 10.1145/3130800.3130895 – ident: e_1_2_8_17_2 doi: 10.1145/2897824.2925920 – ident: e_1_2_8_4_2 doi: 10.1111/1467-8659.00601 – start-page: 153 volume-title: Curve and Surface Design: Saint-Malo 1999 year: 2000 ident: e_1_2_8_13_2 contributor: fullname: Hormann K. – ident: e_1_2_8_18_2 doi: 10.1145/3130800.3130897 – ident: e_1_2_8_28_2 doi: 10.1111/j.1467-8659.2011.01990.x – ident: e_1_2_8_34_2 doi: 10.1145/3132705 – ident: e_1_2_8_40_2 doi: 10.1561/0600000011 – ident: e_1_2_8_29_2 doi: 10.1145/3130800.3130845 – ident: e_1_2_8_21_2 doi: 10.1109/CVPR.2007.383078 – ident: e_1_2_8_26_2 doi: 10.1111/j.1467-8659.2008.01290.x – ident: e_1_2_8_10_2 doi: 10.1145/566654.566589 – ident: e_1_2_8_32_2 doi: 10.1111/phor.12063 – ident: e_1_2_8_19_2 doi: 10.1145/3306346.3323001 – ident: e_1_2_8_22_2 doi: 10.1145/3272127.3275042 – ident: e_1_2_8_23_2 doi: 10.1145/566654.566590 – ident: e_1_2_8_12_2 doi: 10.1111/j.1467-8659.2009.01617.x – ident: e_1_2_8_42_2 doi: 10.1145/2766947 – ident: e_1_2_8_35_2 doi: 10.1109/CVPR.2006.19 – ident: e_1_2_8_9_2 doi: 10.1016/S0167-8396(96)00031-3 – ident: e_1_2_8_43_2 doi: 10.1145/383259.383307 – ident: e_1_2_8_6_2 doi: 10.1145/218380.218440 – ident: e_1_2_8_51_2 doi: 10.1145/1037957.1037958 – ident: e_1_2_8_15_2 doi: 10.1017/CBO9780511811685 – ident: e_1_2_8_36_2 – ident: e_1_2_8_39_2 – ident: e_1_2_8_33_2 – ident: e_1_2_8_46_2 doi: 10.1145/2897824.2925898 – ident: e_1_2_8_41_2 doi: 10.1145/3072959.3073618 – ident: e_1_2_8_20_2 doi: 10.1145/1141911.1141926 – ident: e_1_2_8_7_2 doi: 10.1007/s00454-003-2948-z – ident: e_1_2_8_47_2 – ident: e_1_2_8_25_2 doi: 10.1145/3197517.3201328 – ident: e_1_2_8_38_2 – ident: e_1_2_8_8_2 doi: 10.1007/3-540-26808-1_9 – ident: e_1_2_8_11_2 doi: 10.1145/237170.237200 – ident: e_1_2_8_30_2 doi: 10.1111/j.1467-8659.2010.01746.x – ident: e_1_2_8_24_2 doi: 10.1109/CVPR.2017.19 – ident: e_1_2_8_49_2 doi: 10.1111/cgf.13656 – ident: e_1_2_8_37_2 – ident: e_1_2_8_50_2 doi: 10.1145/3105762.3105780 – ident: e_1_2_8_14_2 doi: 10.1145/1508044.1508091 – ident: e_1_2_8_3_2 doi: 10.1111/j.1467-8659.2008.01253.x – ident: e_1_2_8_45_2 – ident: e_1_2_8_44_2 doi: 10.1111/1467-8659.00257 – ident: e_1_2_8_2_2 doi: 10.1145/2431211.2431214 – ident: e_1_2_8_31_2 doi: 10.1145/2983621 |
SSID | ssj0004765 |
Score | 2.387956 |
Snippet | We propose a method to improve an existing parametrization (UV‐map layout) of a textured 3D model, targeted explicitly at alleviating typical defects... Abstract We propose a method to improve an existing parametrization (UV‐map layout) of a textured 3D model, targeted explicitly at alleviating typical defects... |
SourceID | proquest crossref wiley |
SourceType | Aggregation Database Publisher |
StartPage | 65 |
SubjectTerms | CCS Concepts Computing methodologies → Texturing Degradation Fragmentation Image reconstruction Mesh models Oversampling Parameterization Photogrammetry Resampling Signal processing Texture Three dimensional models |
Title | Texture Defragmentation for Photo‐Reconstructed 3D Models |
URI | https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fcgf.142615 https://www.proquest.com/docview/2536812948 |
Volume | 40 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnZ1LS8NAEMeH4kkPvsVqlQW9eEhJso8k6EVaaxEUkRZ6kbC72VRQU-nj4smP4Gf0k7iTh60eBL3lsAnJ7M7Mf8PMbwGOkedhmOCONpQ7zHelE6UBc0xARaKp8cMQu5Gvb0S3z64GfFCDs6oXpuBDfP1wQ8_I4zU6uFSTBSfXw9S6ud0AYIe5RwOs52rfzdlRLBC8AnsjMqZkk2IZz_zW79loLjEXhWqeaTprcF-9Y1Fg8ticTVVTv_7AN_73I9ZhtZSg5LxYMxtQM9kmrCyACbfgtGdj9mxsSNukYzl8LhuUMmIlLrl9GE1HH2_vuHMt-bMmIbRN8Fy1p8k29DsXvVbXKY9ZcDTFGjcRSNePmE6pb-WG5FyJkGqWeIlgXBocpJlGLL5rtZ5KpVBGMa7CyEY7qQzdgaVslJldICan5UTaJn7DXBqFgRaeVKFKEIvG0jocVeaOXwqaRlztQqwp4sIUdWhUMxGXHjWJfU4RlRaxsA4nuUl_eULcuuzYK4_v_WHsPiz7WLCSVzM2YMnazxxYxTFVh_nK-gQLaM7_ |
link.rule.ids | 315,783,787,1378,27936,27937,46306,46730 |
linkProvider | Wiley-Blackwell |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnZ07T8MwEMdPUAZg4I0oFIgEC0OqNn4kERNqKQXaCqFW6hbZjlMkIEV9LEx8BD4jnwRfHrQwIMGWwbGUi8_3P-v8O4BT5HloypmtNGE2dSrC9iOX2tolPFREO56Ht5HbHd7s0Zs-62e1OXgXJuVDfB24oWck-zU6OB5Iz3m5GkTGz00GwBZhyfg7wc4N9fsZPYq6nOVob4TGZHRSLOSZvfs9Hs1E5rxUTWJNYz1tqDpOEIVYYvJYnk5kWb3-ADj--zM2YC1TodZFumw2YUHHW7A6xybchvOu2banI23VdTQSg-fsjlJsGZVr3T0MJ8OPt3dMXjMErQ4tUrewtdrTeAd6jcturWlnnRZsRbDMjbui4vhURcQxikMwJrlHFA2rIadMaBykqEIyfsXIPRkJLrWkTHq-2fCE1GQXCvEw1ntg6QSY4ysT-zWtEN9zFa8K6ckQyWg0KsJJbu_gJQVqBHkiYkwRpKYoQin_FUHmVOPAYQRpaT71inCW2PSXGYLaVcM8Vdn-H8Yew3Kz224FrevO7QGsOFi_khQ3lqBgbKkPjQCZyKNkmX0CB1TTFw |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnZ1LS8NAEMeHWkH04LtYrRrQi4eUNPtIgl6kNdZXKdJCLxJ2N5sKalr6uHjyI_gZ_STu5mGrB0FvOWxCMrsz898w81uAY83zkJgSU0hETGxbzPQiB5vSQTQUSNquq7uR71q02cXXPdIrwFneC5PyIb5-uGnPSOK1dvBhGM05uehHys3VBoAswCKmSvpqSXQ_g0dhh5Kc7K2ZMRmcVNfxzO79no5mGnNeqSapxl-Dh_wl0wqTp-p0wqvi9Qe_8b9fsQ6rmQY1ztNFswEFGW_CyhyZcAtOOypoT0fSaMhoxPovWYdSbCiNa7QfB5PBx9u73rpmAFoZGqhh6IPVnsfb0PUvOvWmmZ2zYAqki9yowyzbwyJCttIbjBBOXSRwWAspJkzqQQILzcW3lNjjEaNccky466lwx7hEJSjGg1jugCETXI4nVOaX2EKe6whaY9zloeai4agMR7m5g2GK0wjybYgyRZCaogyVfCaCzKXGgU2QZqV52C3DSWLSX54Q1C99dVUju38YewhL7YYf3F61bvZg2dbFK0llYwWKypRyX6mPCT9IFtkns0rRxg |
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=Texture+Defragmentation+for+Photo%E2%80%90Reconstructed+3D+Models&rft.jtitle=Computer+graphics+forum&rft.au=Maggiordomo%2C+Andrea&rft.au=Cignoni%2C+Paolo&rft.au=Tarini%2C+Marco&rft.date=2021-05-01&rft.issn=0167-7055&rft.eissn=1467-8659&rft.volume=40&rft.issue=2&rft.spage=65&rft.epage=78&rft_id=info:doi/10.1111%2Fcgf.142615&rft.externalDBID=10.1111%252Fcgf.142615&rft.externalDocID=CGF14215 |
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 |