State-of-the-art of 3D facial reconstruction methods for face recognition based on a single 2D training image per person
3D facial reconstruction systems attempt to reconstruct 3D facial models of individuals from their 2D photographic images or video sequences. Currently published face recognition systems, which exhibit well-known deficiencies, are largely based on 2D facial images, although 3D image capture systems...
Uloženo v:
| Vydáno v: | Pattern recognition letters Ročník 30; číslo 10; s. 908 - 913 |
|---|---|
| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Amsterdam
Elsevier B.V
15.07.2009
Elsevier |
| Témata: | |
| ISSN: | 0167-8655, 1872-7344 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | 3D facial reconstruction systems attempt to reconstruct 3D facial models of individuals from their
2D photographic images or video sequences. Currently published face recognition systems, which exhibit well-known deficiencies, are largely based on 2D facial images, although 3D image capture systems can better encapsulate the 3D geometry of the human face. Accordingly, face recognition research is gradually shifting from the legacy 2D domain to the more sophisticated 2D to 3D or 2D/3D hybrid domain. Currently there exist four methods for 3D facial reconstruction. These are: Stochastic Newton Optimization method (SNO) [Blanz, V., Vetter, T., 1999. A morphable model for the synthesis of 3D faces. In: Proc. 26th Annu. Conf. on Computer Graphics and Interactive Techniques, SIGGRAPH. pp. 187–194; Blanz, V., Vetter, T., 2003. Face recognition based on fitting a 3D morphable model. IEEE Trans. Pattern Anal. Machine Intell. 25(9), 1063–1074; Blanz, V., 2001. Automatische Rekonstruction der Dreidimensionalen Form von Gesichtern aus einem Einzelbild. Ph.D. Thesis, Universitat Tubingen, Germany] inverse compositional image alignment algorithm (ICIA) [Romdhani, S., Vetter, T., 2003. Efficient, robust and accurate fitting of a 3D morphable model. In: IEEE Int. Conf. on Computer Vision, vol. 2, no. 1. pp. 59–66], linear shape and texture fitting algorithm (LiST) [Romdhani, S., Blanz, V., Vetter, T., 2002. Face identification by fitting a 3D morphable model using linear shape and texture error functions. In: Proc. ECCV, vol. 4. pp. 3–19], and shape alignment and interpolation method correction (SAIMC) [Jiang, D., Hu, Y., Yan, S., Zhang, L., Zhang, H., Gao, W., 2005. Efficient 3D reconstruction for face recognition. Pattern Recogn. 38(6), 787–798]. The first three, SNO, ICIA
+
3DMM, and LiST can be classified as “analysis-by-synthesis” techniques and SAIMC can be separately classified as a “3D supported 2D model”. In this paper, we introduce, discuss and analyze the difference between these two frameworks. We begin by presenting the 3D morphable model (3DMM; Blanz and Vetter, 1999), which forms the foundation of all four of the reconstruction techniques described here. This is followed by a review of the basic “analysis-by-synthesis” framework and a comparison of the three methods that employ this approach. We next review the “3D supported 2D model” framework and introduce the SAIMC method, comparing it to the other three. The characteristics of all four methods are summarized in a table that should facilitate further research on this topic. |
|---|---|
| AbstractList | 3D facial reconstruction systems attempt to reconstruct 3D facial models of individuals from their
2D photographic images or video sequences. Currently published face recognition systems, which exhibit well-known deficiencies, are largely based on 2D facial images, although 3D image capture systems can better encapsulate the 3D geometry of the human face. Accordingly, face recognition research is gradually shifting from the legacy 2D domain to the more sophisticated 2D to 3D or 2D/3D hybrid domain. Currently there exist four methods for 3D facial reconstruction. These are: Stochastic Newton Optimization method (SNO) [Blanz, V., Vetter, T., 1999. A morphable model for the synthesis of 3D faces. In: Proc. 26th Annu. Conf. on Computer Graphics and Interactive Techniques, SIGGRAPH. pp. 187–194; Blanz, V., Vetter, T., 2003. Face recognition based on fitting a 3D morphable model. IEEE Trans. Pattern Anal. Machine Intell. 25(9), 1063–1074; Blanz, V., 2001. Automatische Rekonstruction der Dreidimensionalen Form von Gesichtern aus einem Einzelbild. Ph.D. Thesis, Universitat Tubingen, Germany] inverse compositional image alignment algorithm (ICIA) [Romdhani, S., Vetter, T., 2003. Efficient, robust and accurate fitting of a 3D morphable model. In: IEEE Int. Conf. on Computer Vision, vol. 2, no. 1. pp. 59–66], linear shape and texture fitting algorithm (LiST) [Romdhani, S., Blanz, V., Vetter, T., 2002. Face identification by fitting a 3D morphable model using linear shape and texture error functions. In: Proc. ECCV, vol. 4. pp. 3–19], and shape alignment and interpolation method correction (SAIMC) [Jiang, D., Hu, Y., Yan, S., Zhang, L., Zhang, H., Gao, W., 2005. Efficient 3D reconstruction for face recognition. Pattern Recogn. 38(6), 787–798]. The first three, SNO, ICIA
+
3DMM, and LiST can be classified as “analysis-by-synthesis” techniques and SAIMC can be separately classified as a “3D supported 2D model”. In this paper, we introduce, discuss and analyze the difference between these two frameworks. We begin by presenting the 3D morphable model (3DMM; Blanz and Vetter, 1999), which forms the foundation of all four of the reconstruction techniques described here. This is followed by a review of the basic “analysis-by-synthesis” framework and a comparison of the three methods that employ this approach. We next review the “3D supported 2D model” framework and introduce the SAIMC method, comparing it to the other three. The characteristics of all four methods are summarized in a table that should facilitate further research on this topic. |
| Author | (Chris) Yu, Yingfeng Levine, Martin D. |
| Author_xml | – sequence: 1 givenname: Martin D. surname: Levine fullname: Levine, Martin D. email: m.levine@ieee.org – sequence: 2 givenname: Yingfeng surname: (Chris) Yu fullname: (Chris) Yu, Yingfeng |
| BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=21684180$$DView record in Pascal Francis |
| BookMark | eNqFkE1vFSEUholpE2-r_8AFmy5nhIE7cF00Ma1fSRMX1jU5c-Zwy80UbgCN_nuZXuPChS4IkPO8b-C5YGcxRWLslRS9FHJ8feiPUDNhPwix64XqhZTP2EZaM3RGaX3GNg0znR232-fsopSDEGJUO7thP75UqNQl39UH6iBXnjxXt9wDBlh4K02x1PwNa0iRP1J9SHPhPuWVoKf5Poan4QSFZt4OwEuI-4X4cMtrhhDbjYdH2BM_Ul5XSfEFO_ewFHr5e79kX9-_u7_52N19_vDp5u1dh1oMtbOajEAxzUbCOI9br0F5NIBCTsZLM1ihJ6tmucMRrJlGj4QDeqXNVoLx6pJdnXqPUBAWnyFiKO6Y24PyTzfI0WppReP0icOcSsnk_yBSuNWyO7iTZbdadkK5ZrnF3vwVw9CMNh_rz5f_ha9PYWoCvgfKrmCgiDSHhlY3p_Dvgl8vhZ5m |
| CODEN | PRLEDG |
| CitedBy_id | crossref_primary_10_1371_journal_pone_0055700 crossref_primary_10_1007_s00371_013_0795_3 crossref_primary_10_1016_j_ejfs_2012_06_002 crossref_primary_10_7736_KSPE_2015_32_7_633 crossref_primary_10_1109_ACCESS_2019_2938671 crossref_primary_10_1587_transinf_E97_D_305 crossref_primary_10_1109_TIP_2022_3226413 crossref_primary_10_1145_3550454_3555509 crossref_primary_10_1016_j_cosrev_2021_100400 crossref_primary_10_1016_j_prosdent_2020_01_008 crossref_primary_10_1007_s11042_024_18665_3 crossref_primary_10_1080_02564602_2014_906863 crossref_primary_10_1007_s10846_011_9548_6 crossref_primary_10_1109_TIP_2012_2204269 crossref_primary_10_1016_j_neucom_2014_10_111 crossref_primary_10_1049_iet_cvi_2013_0220 crossref_primary_10_20965_ijat_2016_p0813 crossref_primary_10_1007_s11042_016_4325_y crossref_primary_10_1016_j_ins_2021_09_024 crossref_primary_10_1016_j_cviu_2016_04_012 crossref_primary_10_1016_j_engappai_2023_107056 crossref_primary_10_1016_j_cag_2015_02_009 crossref_primary_10_1016_j_jasrep_2019_02_018 crossref_primary_10_1109_TIP_2021_3112059 |
| Cites_doi | 10.1007/3-540-49437-5_10 10.1016/j.patcog.2004.11.004 10.1109/TPAMI.1984.4767521 10.1109/ICCV.2003.1238314 10.1016/j.cviu.2005.05.005 10.1109/TPAMI.2003.1227983 10.1145/344779.344951 10.1007/3-540-47979-1_1 10.1145/311535.311556 |
| ContentType | Journal Article |
| Copyright | 2009 Elsevier B.V. 2009 INIST-CNRS |
| Copyright_xml | – notice: 2009 Elsevier B.V. – notice: 2009 INIST-CNRS |
| DBID | AAYXX CITATION IQODW |
| DOI | 10.1016/j.patrec.2009.03.011 |
| DatabaseName | CrossRef Pascal-Francis |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering Computer Science Applied Sciences |
| EISSN | 1872-7344 |
| EndPage | 913 |
| ExternalDocumentID | 21684180 10_1016_j_patrec_2009_03_011 S0167865509000567 |
| GroupedDBID | --K --M .DC .~1 0R~ 123 1B1 1RT 1~. 1~5 29O 4.4 457 4G. 53G 5VS 7-5 71M 8P~ 9JN AABNK AACTN AAEDT AAEDW AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AAXUO AAYFN ABBOA ABFNM ABFRF ABJNI ABMAC ABXDB ABYKQ ACDAQ ACGFO ACGFS ACNNM ACRLP ACZNC ADBBV ADEZE ADJOM ADMUD ADMXK ADTZH AEBSH AECPX AEFWE AEKER AENEX AFKWA AFTJW AGHFR AGUBO AGYEJ AHHHB AHJVU AHZHX AIALX AIEXJ AIKHN AITUG AJBFU AJOXV ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AOUOD ASPBG AVWKF AXJTR AZFZN BJAXD BKOJK BLXMC CS3 DU5 EBS EFJIC EFLBG EJD EO8 EO9 EP2 EP3 F5P FDB FEDTE FGOYB FIRID FNPLU FYGXN G-Q G8K GBLVA GBOLZ HLZ HVGLF HZ~ IHE J1W JJJVA KOM LG9 LY1 M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 R2- RIG RNS ROL RPZ SBC SDF SDG SDP SDS SES SEW SPC SPCBC SST SSV SSZ T5K TN5 UNMZH VOH WH7 WUQ XFK XPP Y6R ZMT ~G- 9DU AATTM AAXKI AAYWO AAYXX ABDPE ABWVN ACLOT ACRPL ACVFH ADCNI ADNMO AEIPS AEUPX AFJKZ AFPUW AGQPQ AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP CITATION EFKBS ~HD BNPGV IQODW SSH |
| ID | FETCH-LOGICAL-c402t-84e70c0bd71a6d65f4a3fc7ac01b7f172804b83d19c6a87b6fcec2cf34751a7f3 |
| ISICitedReferencesCount | 43 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000267729200006&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0167-8655 |
| IngestDate | Wed Apr 02 07:25:39 EDT 2025 Sat Nov 29 03:58:33 EST 2025 Tue Nov 18 21:14:29 EST 2025 Fri Feb 23 02:26:36 EST 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 10 |
| Keywords | 3D morphable model 3D reconstruction Face recognition Single 2D training image State-of-the-art Biometrics State of the art Photographic image Image processing Video signal state-of-the-art Stochastic method Volume reconstruction Texture Learning Image matching Image sequence Computer graphics Newton method Computer vision Sequence alignment Error function Pattern recognition Algorithm Interactive system Photography Three dimensional model Tridimensional image Automatic recognition |
| Language | English |
| License | https://www.elsevier.com/tdm/userlicense/1.0 CC BY 4.0 |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c402t-84e70c0bd71a6d65f4a3fc7ac01b7f172804b83d19c6a87b6fcec2cf34751a7f3 |
| PageCount | 6 |
| ParticipantIDs | pascalfrancis_primary_21684180 crossref_primary_10_1016_j_patrec_2009_03_011 crossref_citationtrail_10_1016_j_patrec_2009_03_011 elsevier_sciencedirect_doi_10_1016_j_patrec_2009_03_011 |
| PublicationCentury | 2000 |
| PublicationDate | 2009-07-15 |
| PublicationDateYYYYMMDD | 2009-07-15 |
| PublicationDate_xml | – month: 07 year: 2009 text: 2009-07-15 day: 15 |
| PublicationDecade | 2000 |
| PublicationPlace | Amsterdam |
| PublicationPlace_xml | – name: Amsterdam |
| PublicationTitle | Pattern recognition letters |
| PublicationYear | 2009 |
| Publisher | Elsevier B.V Elsevier |
| Publisher_xml | – name: Elsevier B.V – name: Elsevier |
| References | Bregler, C., Hertzmann, A., Biermann, H., 2000. Recovering non-rigid 3D shape from image streams. In: Proc. IEEE Comput. Soc. Conf. on Computer Vision and Pattern Recognition, vol. 2. pp. 690–696. Bergen, J.R., Hingorani, R., 1990, Hierarchical motion-based frame rate conversion. Technical Report. David Sarnoff Research Center, Princeton, NJ. Gill, G.S., Levine, M.D., 2005. Searching for the holy grail: A completely automated 3D morphable model. Technical Report, March 15, 2005. Department of Electrical & Computer Engineering & Center for Intelligent Machines, McGill University Montreal, Canada. Romdhani, S., Vetter, T., 2003. Efficient, robust and accurate fitting of a 3D morphable model. In: IEEE Int. Conf. on Computer Vision, vol. 2, no. 1. pp. 59–66. Blanz, Vetter (bib6) 2003; 25 Bowyer, Chang, Flynn (bib7) 2004; 101 Brady, Yuille (bib8) 1983; 6 Zhao, W.Y., Chellappa, R., 2000. SFS based view synthesis for robust face recognition. In: Proc. IEEE Int. Automatic Face and Gesture Recognition. pp. 285–292. Romdhani, S., Blanz, V., Vetter, T., 2002. Face identification by fitting a 3D morphable model using linear shape and texture error functions. In: Proc. ECCV, vol. 4. pp. 3–19. Romdhani, Blanz, Basso, Vetter (bib19) 2004 Himaanshu, RoyChowdhury, Chellappa (bib11) 2004 Zhou, Chellappa (bib23) 2005 . Hu, Y., Jiang, D., Yan, S., Zhang, L., Zhang, H., 2004. Automatic 3D reconstruction for face recognition. In: Proc. 6th IEEE Int. Conf. on Automatic Face and Gesture Recognition. pp. 843–848. Jiang, Hu, Yan, Zhang, Zhang, Gao (bib13) 2005; 38 Baker, S., Gross, R., Matthews, I., 2002. Lucas–Kanade 20 years on: A unifying framework: Part 1. Technical Report CMU-RI-TR-02-16. Robotics Institute, Carnegie Mellon University. Blanz, V., 2001. Automatische Rekonstruction der Dreidimensionalen Form von Gesichtern aus einem Einzelbild. Ph.D. Thesis, Universitat Tubingen, Germany. Pollefeys, M., 1999. Metric 3D Surface Reconstruction from Uncalibrated Image Sequences. Ph.D. Thesis, Katholieke Universiteit Leuven. Blanz, V., Vetter, T., 1999. A morphable model for the synthesis of 3D faces. In: Proc. 26th Annu. Conf. on Computer Graphics and Interactive Techniques. SIGGRAPH. pp. 187–194. Scheenstra, Ruifrok, Veltkamp (bib21) 2005 Moghaddam, B., Lee, J.H., Pfister, H., Machiraju, R., 2003. Model-based 3D face capture with shape-from-silhouettes. In: IEEE Int. Workshop on Analysis and Modeling of Faces and Gestures (AMFG), Bice, France. pp. 20–27. Romdhani, Pierrard, Vetter (bib20) 2005 Matusik, W., Buehler, C., Raskar, R., Gortler, S.J., McMillan, L., 2000. Image-based visual hulls. In: Proc. Int. Conf. on Computer Graphics and Interactive Techniques, SIGGRAPH, 2000. pp. 369–374. Baker, S., Matthews, I., 2001. Equivalence and efficiency of image alignment algorithms. In: IEEE Comput. Soc. Conf. on Computer Vision and Pattern Recognition (CVPR’01), vol. 1. pp. 1090–1097. Bowyer (10.1016/j.patrec.2009.03.011_bib7) 2004; 101 10.1016/j.patrec.2009.03.011_bib9 10.1016/j.patrec.2009.03.011_bib18 10.1016/j.patrec.2009.03.011_bib17 Blanz (10.1016/j.patrec.2009.03.011_bib6) 2003; 25 10.1016/j.patrec.2009.03.011_bib16 Brady (10.1016/j.patrec.2009.03.011_bib8) 1983; 6 10.1016/j.patrec.2009.03.011_bib15 10.1016/j.patrec.2009.03.011_bib14 Romdhani (10.1016/j.patrec.2009.03.011_bib20) 2005 10.1016/j.patrec.2009.03.011_bib12 Jiang (10.1016/j.patrec.2009.03.011_bib13) 2005; 38 10.1016/j.patrec.2009.03.011_bib22 Zhou (10.1016/j.patrec.2009.03.011_bib23) 2005 10.1016/j.patrec.2009.03.011_bib10 Himaanshu (10.1016/j.patrec.2009.03.011_bib11) 2004 10.1016/j.patrec.2009.03.011_bib2 Romdhani (10.1016/j.patrec.2009.03.011_bib19) 2004 10.1016/j.patrec.2009.03.011_bib1 Scheenstra (10.1016/j.patrec.2009.03.011_bib21) 2005 10.1016/j.patrec.2009.03.011_bib5 10.1016/j.patrec.2009.03.011_bib4 10.1016/j.patrec.2009.03.011_bib3 |
| References_xml | – reference: Blanz, V., Vetter, T., 1999. A morphable model for the synthesis of 3D faces. In: Proc. 26th Annu. Conf. on Computer Graphics and Interactive Techniques. SIGGRAPH. pp. 187–194. – volume: 25 start-page: 1063 year: 2003 end-page: 1074 ident: bib6 article-title: Face recognition based on fitting a 3D morphable model publication-title: IEEE Trans. Pattern Anal. Machine Intell. – reference: Bergen, J.R., Hingorani, R., 1990, Hierarchical motion-based frame rate conversion. Technical Report. David Sarnoff Research Center, Princeton, NJ. – reference: Blanz, V., 2001. Automatische Rekonstruction der Dreidimensionalen Form von Gesichtern aus einem Einzelbild. Ph.D. Thesis, Universitat Tubingen, Germany. – reference: Matusik, W., Buehler, C., Raskar, R., Gortler, S.J., McMillan, L., 2000. Image-based visual hulls. In: Proc. Int. Conf. on Computer Graphics and Interactive Techniques, SIGGRAPH, 2000. pp. 369–374. – reference: Bregler, C., Hertzmann, A., Biermann, H., 2000. Recovering non-rigid 3D shape from image streams. In: Proc. IEEE Comput. Soc. Conf. on Computer Vision and Pattern Recognition, vol. 2. pp. 690–696. – volume: 38 start-page: 787 year: 2005 end-page: 798 ident: bib13 article-title: Efficient 3D reconstruction for face recognition publication-title: Pattern Recogn. – reference: Gill, G.S., Levine, M.D., 2005. Searching for the holy grail: A completely automated 3D morphable model. Technical Report, March 15, 2005. Department of Electrical & Computer Engineering & Center for Intelligent Machines, McGill University Montreal, Canada. – start-page: 768 year: 2005 ident: bib20 article-title: 3D morphable face model, a unified approach for analysis and synthesis of image publication-title: Face Processing: Advanced Modeling and Methods – reference: Baker, S., Gross, R., Matthews, I., 2002. Lucas–Kanade 20 years on: A unifying framework: Part 1. Technical Report CMU-RI-TR-02-16. Robotics Institute, Carnegie Mellon University. – reference: Hu, Y., Jiang, D., Yan, S., Zhang, L., Zhang, H., 2004. Automatic 3D reconstruction for face recognition. In: Proc. 6th IEEE Int. Conf. on Automatic Face and Gesture Recognition. pp. 843–848. – reference: Romdhani, S., Blanz, V., Vetter, T., 2002. Face identification by fitting a 3D morphable model using linear shape and texture error functions. In: Proc. ECCV, vol. 4. pp. 3–19. – year: 2004 ident: bib19 article-title: Morphable Models of Faces publication-title: Handbook of Face Recognition – reference: Baker, S., Matthews, I., 2001. Equivalence and efficiency of image alignment algorithms. In: IEEE Comput. Soc. Conf. on Computer Vision and Pattern Recognition (CVPR’01), vol. 1. pp. 1090–1097. – year: 2005 ident: bib23 publication-title: Beyond a single still image: Face recognition from multiple still images and videos – volume: 101 start-page: 1 year: 2004 end-page: 15 ident: bib7 article-title: A survey of approaches and challenges in 3D and multi-modal 3D publication-title: Comput. Vision Image Und. – reference: Zhao, W.Y., Chellappa, R., 2000. SFS based view synthesis for robust face recognition. In: Proc. IEEE Int. Automatic Face and Gesture Recognition. pp. 285–292. – volume: 6 start-page: 288 year: 1983 end-page: 301 ident: bib8 article-title: An extremum principle for shape from contour publication-title: IEEE Trans. Pattern Anal. Machine Intell. – year: 2004 ident: bib11 article-title: Contour-based 3D face modeling from a monocular video publication-title: British Machine Vision Conference, BMVC04, September 7–9 – reference: Moghaddam, B., Lee, J.H., Pfister, H., Machiraju, R., 2003. Model-based 3D face capture with shape-from-silhouettes. In: IEEE Int. Workshop on Analysis and Modeling of Faces and Gestures (AMFG), Bice, France. pp. 20–27. – year: 2005 ident: bib21 article-title: A survey of 3D face recognition methods publication-title: Fifth Int. Conf. on Audio- and Video-Based Biometric Person Authentication – reference: Pollefeys, M., 1999. Metric 3D Surface Reconstruction from Uncalibrated Image Sequences. Ph.D. Thesis, Katholieke Universiteit Leuven. – reference: . – reference: Romdhani, S., Vetter, T., 2003. Efficient, robust and accurate fitting of a 3D morphable model. In: IEEE Int. Conf. on Computer Vision, vol. 2, no. 1. pp. 59–66. – year: 2004 ident: 10.1016/j.patrec.2009.03.011_bib19 article-title: Morphable Models of Faces – ident: 10.1016/j.patrec.2009.03.011_bib16 doi: 10.1007/3-540-49437-5_10 – volume: 38 start-page: 787 issue: 6 year: 2005 ident: 10.1016/j.patrec.2009.03.011_bib13 article-title: Efficient 3D reconstruction for face recognition publication-title: Pattern Recogn. doi: 10.1016/j.patcog.2004.11.004 – year: 2005 ident: 10.1016/j.patrec.2009.03.011_bib21 article-title: A survey of 3D face recognition methods – ident: 10.1016/j.patrec.2009.03.011_bib22 – ident: 10.1016/j.patrec.2009.03.011_bib9 – year: 2005 ident: 10.1016/j.patrec.2009.03.011_bib23 – ident: 10.1016/j.patrec.2009.03.011_bib1 – ident: 10.1016/j.patrec.2009.03.011_bib2 – ident: 10.1016/j.patrec.2009.03.011_bib3 – ident: 10.1016/j.patrec.2009.03.011_bib4 – volume: 6 start-page: 288 issue: 3 year: 1983 ident: 10.1016/j.patrec.2009.03.011_bib8 article-title: An extremum principle for shape from contour publication-title: IEEE Trans. Pattern Anal. Machine Intell. doi: 10.1109/TPAMI.1984.4767521 – ident: 10.1016/j.patrec.2009.03.011_bib17 doi: 10.1109/ICCV.2003.1238314 – ident: 10.1016/j.patrec.2009.03.011_bib10 – year: 2004 ident: 10.1016/j.patrec.2009.03.011_bib11 article-title: Contour-based 3D face modeling from a monocular video – ident: 10.1016/j.patrec.2009.03.011_bib12 – volume: 101 start-page: 1 issue: 1 year: 2004 ident: 10.1016/j.patrec.2009.03.011_bib7 article-title: A survey of approaches and challenges in 3D and multi-modal 3D+2D face recognition publication-title: Comput. Vision Image Und. doi: 10.1016/j.cviu.2005.05.005 – volume: 25 start-page: 1063 issue: 9 year: 2003 ident: 10.1016/j.patrec.2009.03.011_bib6 article-title: Face recognition based on fitting a 3D morphable model publication-title: IEEE Trans. Pattern Anal. Machine Intell. doi: 10.1109/TPAMI.2003.1227983 – ident: 10.1016/j.patrec.2009.03.011_bib14 doi: 10.1145/344779.344951 – ident: 10.1016/j.patrec.2009.03.011_bib15 – start-page: 768 year: 2005 ident: 10.1016/j.patrec.2009.03.011_bib20 article-title: 3D morphable face model, a unified approach for analysis and synthesis of image – ident: 10.1016/j.patrec.2009.03.011_bib18 doi: 10.1007/3-540-47979-1_1 – ident: 10.1016/j.patrec.2009.03.011_bib5 doi: 10.1145/311535.311556 |
| SSID | ssj0006398 |
| Score | 2.1915917 |
| Snippet | 3D facial reconstruction systems attempt to reconstruct 3D facial models of individuals from their
2D photographic images or video sequences. Currently... |
| SourceID | pascalfrancis crossref elsevier |
| SourceType | Index Database Enrichment Source Publisher |
| StartPage | 908 |
| SubjectTerms | 3D morphable model 3D reconstruction Applied sciences Artificial intelligence Computer science; control theory; systems Exact sciences and technology Face recognition Image processing Information, signal and communications theory Pattern recognition Pattern recognition. Digital image processing. Computational geometry Signal processing Single 2D training image State-of-the-art Telecommunications and information theory |
| Title | State-of-the-art of 3D facial reconstruction methods for face recognition based on a single 2D training image per person |
| URI | https://dx.doi.org/10.1016/j.patrec.2009.03.011 |
| Volume | 30 |
| WOSCitedRecordID | wos000267729200006&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: 1872-7344 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0006398 issn: 0167-8655 databaseCode: AIEXJ dateStart: 19950101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3Nb5swFLeydIdN0z66Tes-Kh92Q64wOLF9rBbaZapQD-2UnpBxsJQqJVETVTn2T-8zNgRaTdkOO4CQYwzh_XjvYb_fewh9N3GuWcEjooSKCKNUkZwODKFTJo1UWihVEYXPeJqKyUSe93r3NRfmbs7LUmw2cvlfRQ1tIGxLnf0HcTeDQgMcg9BhD2KH_V8JvnIfycIQcO1s3Jt1B-ORLawzq5L468U2aawvIF3lZLA9iqAJKIIfrYWb2tUEFdgZhXkRRKOmpkQwu7HhPsvi1m4rL13v5p5XWTvLzmjzijjUuPBnye9xmni60HpWbkOPr8bp6UmSngZXl505CUuDIo6V6SbKvFVvz1uCPrYc2Lbi9QsyHmBhS43KULQssnRs1SfK3s07XB_ZVYNC-9yj8VHotXcnt_Yjm9dEIkZ0KBgV4TO0F_GBFH20dzxOJr8aaw4enKjzw9s_UNMvqxjBp1f-k3vzaqlW8NIZVy2l5cJcvEWv_bcHPnaYeYd6RbmP3vjvEOy1_Aqa6lIfdds-etnKW_kebR5jDC8MjkfYYQx3MYY9xjBgzPYocAsVuMIYhgOFHcZwNMI1xnCFMQz4wg5jH9DlSXLx4yfxJTyIZmG0JgL0QKjDfMqpGk6HA8NUbDRXOqQ5N1VtNJaLeEqlHirBLfOs0JE2MeMDqriJP6J-uSiLTwgrxnIJFkaZ3PrMKuecgvoRnEU5DK0PUFw_-Uz7_Pb2dudZHch4nTl52dKrMgvjDOR1gEhz1tLld9nRn9dCzbyP6nzPDFC548zDDgaay9UQ_Lyrwxf0YvuyfUV9kGPxDT3Xd-vZ6vbQA_cB9yu_Ig |
| 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=State-of-the-art+of+3D+facial+reconstruction+methods+for+face+recognition+based+on+a+single+2D+training+image+per+person&rft.jtitle=Pattern+recognition+letters&rft.au=LEVINE%2C+Martin+D&rft.au=YINGFENG+YU&rft.date=2009-07-15&rft.pub=Elsevier&rft.issn=0167-8655&rft.volume=30&rft.issue=10&rft.spage=908&rft.epage=913&rft_id=info:doi/10.1016%2Fj.patrec.2009.03.011&rft.externalDBID=n%2Fa&rft.externalDocID=21684180 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0167-8655&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0167-8655&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0167-8655&client=summon |