Automated body feature extraction from 2D images
► Body feature points can be extracted from front and side images. ► A shape coding algorithm detects the variation of the human body silhouette. ► The extracted feature points can be processed to collect anthropometric data. Extracting human body features automatically from 2D images provides a fas...
Saved in:
| Published in: | Expert systems with applications Vol. 38; no. 3; pp. 2585 - 2591 |
|---|---|
| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier Ltd
01.03.2011
|
| Subjects: | |
| ISSN: | 0957-4174, 1873-6793 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | ► Body feature points can be extracted from front and side images. ► A shape coding algorithm detects the variation of the human body silhouette. ► The extracted feature points can be processed to collect anthropometric data.
Extracting human body features automatically from 2D images provides a fast and easy approach to collect anthropometric data. This paper presents a systematic method to detect feature points on the silhouette of human body from the front and side images. With an efficient shape coding algorithm, the human body contour of the binary images can be represented. By evaluating the difference between the coding sequence, feature points can be identified. Hence, a total of 60 feature points can be extracted automatically. The method has been tested on 30 human subjects and all the feature points can be correctly extracted. In order to evaluate the performance of the automatic body feature extraction system, the feature points obtained from the proposed method were validated by analyzing the location variation of the silhouette curve. The experimental results indicate that the system is very effective and robust. Moreover, the extracted feature points can be subsequently processed for body dimension measurements. Thus, the newly developed system can achieve an automated extraction of body features and to obtain anthropometric data for many applications. |
|---|---|
| AbstractList | ► Body feature points can be extracted from front and side images. ► A shape coding algorithm detects the variation of the human body silhouette. ► The extracted feature points can be processed to collect anthropometric data.
Extracting human body features automatically from 2D images provides a fast and easy approach to collect anthropometric data. This paper presents a systematic method to detect feature points on the silhouette of human body from the front and side images. With an efficient shape coding algorithm, the human body contour of the binary images can be represented. By evaluating the difference between the coding sequence, feature points can be identified. Hence, a total of 60 feature points can be extracted automatically. The method has been tested on 30 human subjects and all the feature points can be correctly extracted. In order to evaluate the performance of the automatic body feature extraction system, the feature points obtained from the proposed method were validated by analyzing the location variation of the silhouette curve. The experimental results indicate that the system is very effective and robust. Moreover, the extracted feature points can be subsequently processed for body dimension measurements. Thus, the newly developed system can achieve an automated extraction of body features and to obtain anthropometric data for many applications. |
| Author | Lin, Yueh-Ling Wang, Mao-Jiun J. |
| Author_xml | – sequence: 1 givenname: Yueh-Ling surname: Lin fullname: Lin, Yueh-Ling email: d943845@oz.nthu.edu.tw – sequence: 2 givenname: Mao-Jiun J. surname: Wang fullname: Wang, Mao-Jiun J. email: mjwang@ie.nthu.edu.tw |
| BookMark | eNp9j81KAzEURoNUsK2-gKt5gRlvfmwScFPqLxTc6DpkkjuS0k4kSdW-vTPUlYuuLlw4H-fMyKSPPRJyTaGhQBc3mwbzt20YDA9QDQh1RqZUSV4vpOYTMgV9K2tBpbggs5w3AFQCyCmB5b7EnS3oqzb6Q9WhLfuEFf6UZF0Jsa-6FHcVu6_Czn5gviTnnd1mvPq7c_L--PC2eq7Xr08vq-W6dhyg1F5Qh5pRzoTi0HpcWK-c84J7dJZqqYC3mqHlLeOypRao67wWWnmGQlA-J-q461LMOWFnXCh2FBrEwtZQMGO52Zix3IzlBpQZygeU_UM_0yCfDqehuyOEQ9RXwGSyC9g79CGhK8bHcAr_BVkydEo |
| CitedBy_id | crossref_primary_10_2478_aut_2021_0054 crossref_primary_10_1109_ACCESS_2021_3088409 crossref_primary_10_1016_j_eswa_2011_10_011 crossref_primary_10_1109_ACCESS_2021_3076595 crossref_primary_10_1007_s11042_023_16170_7 crossref_primary_10_1016_j_jmsy_2014_02_005 crossref_primary_10_1177_00405175221093663 crossref_primary_10_1088_1742_6596_1335_1_012005 crossref_primary_10_1016_j_eswa_2014_04_014 crossref_primary_10_1007_s13369_017_2646_4 crossref_primary_10_1108_IJCST_07_2021_0090 crossref_primary_10_1016_j_measurement_2025_118034 crossref_primary_10_1109_TCYB_2014_2303993 crossref_primary_10_3389_fcomp_2025_1389291 crossref_primary_10_3389_frai_2024_1336320 crossref_primary_10_1016_j_apergo_2012_10_001 crossref_primary_10_1177_0040517518821914 crossref_primary_10_1177_00405175251318629 crossref_primary_10_1016_j_eswa_2017_09_006 crossref_primary_10_1038_s41598_024_73270_6 crossref_primary_10_1108_IJCST_06_2017_0086 crossref_primary_10_1109_TCE_2024_3363616 crossref_primary_10_1108_DTA_09_2021_0230 crossref_primary_10_1108_IJCST_08_2021_0114 |
| Cites_doi | 10.1016/S0003-6870(00)00023-5 10.1109/TC.1977.1674825 10.1016/j.eswa.2007.07.008 10.1016/S0010-4485(02)00080-5 10.1007/PL00013395 10.1007/11736639_105 10.1007/s00170-005-0307-3 10.1109/TPAMI.1986.4767851 |
| ContentType | Journal Article |
| Copyright | 2010 Elsevier Ltd |
| Copyright_xml | – notice: 2010 Elsevier Ltd |
| DBID | AAYXX CITATION |
| DOI | 10.1016/j.eswa.2010.08.048 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Computer Science |
| EISSN | 1873-6793 |
| EndPage | 2591 |
| ExternalDocumentID | 10_1016_j_eswa_2010_08_048 S0957417410008444 |
| GroupedDBID | --K --M .DC .~1 0R~ 13V 1B1 1RT 1~. 1~5 29G 4.4 457 4G. 5GY 5VS 7-5 71M 8P~ 9JN 9JO AAAKF AAAKG AABNK AACTN AAEDT AAEDW AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AARIN AAXUO AAYFN ABBOA ABFNM ABKBG ABMAC ABMVD ABUCO ABXDB ABYKQ ACDAQ ACGFS ACHRH ACNNM ACNTT ACRLP ACZNC ADBBV ADEZE ADJOM ADMUD ADTZH AEBSH AECPX AEKER AENEX AFKWA AFTJW AGHFR AGJBL AGUBO AGUMN AGYEJ AHHHB AHJVU AHZHX AIALX AIEXJ AIKHN AITUG AJBFU AJOXV ALEQD ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AOUOD APLSM ASPBG AVWKF AXJTR AZFZN BJAXD BKOJK BLXMC BNSAS CS3 DU5 EBS EFJIC EFLBG EJD EO8 EO9 EP2 EP3 F5P FDB FEDTE FGOYB FIRID FNPLU FYGXN G-2 G-Q GBLVA GBOLZ HAMUX HLZ HVGLF HZ~ IHE J1W JJJVA KOM LG9 LY1 LY7 M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. PQQKQ Q38 R2- RIG ROL RPZ SBC SDF SDG SDP SDS SES SET SEW SPC SPCBC SSB SSD SSL SST SSV SSZ T5K TN5 WUQ XPP ZMT ~G- 9DU AATTM AAXKI AAYWO AAYXX ABJNI ABUFD ABWVN ACLOT ACRPL ACVFH ADCNI ADNMO AEIPS AEUPX AFJKZ AFPUW AGQPQ AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP CITATION EFKBS ~HD |
| ID | FETCH-LOGICAL-c300t-d41ce921324830bde6ad8ccd43deca197803b92ea3b237b1a01cfd9498d2e4413 |
| ISICitedReferencesCount | 37 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000284863200140&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0957-4174 |
| IngestDate | Tue Nov 18 22:36:16 EST 2025 Sat Nov 29 04:44:20 EST 2025 Fri Feb 23 02:30:23 EST 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 3 |
| Keywords | Shape description Contour representation Body feature points Human feature extraction |
| Language | English |
| License | https://www.elsevier.com/tdm/userlicense/1.0 |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c300t-d41ce921324830bde6ad8ccd43deca197803b92ea3b237b1a01cfd9498d2e4413 |
| PageCount | 7 |
| ParticipantIDs | crossref_citationtrail_10_1016_j_eswa_2010_08_048 crossref_primary_10_1016_j_eswa_2010_08_048 elsevier_sciencedirect_doi_10_1016_j_eswa_2010_08_048 |
| PublicationCentury | 2000 |
| PublicationDate | 2011-03-01 |
| PublicationDateYYYYMMDD | 2011-03-01 |
| PublicationDate_xml | – month: 03 year: 2011 text: 2011-03-01 day: 01 |
| PublicationDecade | 2010 |
| PublicationTitle | Expert systems with applications |
| PublicationYear | 2011 |
| Publisher | Elsevier Ltd |
| Publisher_xml | – name: Elsevier Ltd |
| References | Seldon, Stevens, Tucker (b0070) 1940 Cordier, F., Lee, W., Seo, H., & Magnenat-Thalmann, N. (2001). From 2D photos of yourself to virtual try-on dress on the web. PhD thesis, Department of Signals and Systems, Chalmers University of Technology. Douty (b0020) 1968; 39 scanner selected for Size-UK (2001). Press Release. Available from: Textile/Clothing Technology Corporation, 318 Gregson Drive, Cary, NC 65211. Arlow, J., Lawrence, K., & Treleaven, P. (2001). Body XML draft specification. e-T Cluster IST-2000-26084, Bodymetrics and UCL, UK. Canny (b0010) 1986; 8 Douty, H. (1968b). Silhouette photography for the study of visual somatotmetry and body image. In PhD thesis, Department of Textile Technology and Management, North Carolina State University. Freeman (b0030) 1961; 10 Meunier, Yin (b0060) 2000; 31 Lee, Gu, Magnenat-Thalmann (b0050) 2000; 19 Lu, Wang (b0055) 2008; 35 Wang, Wu, Yang, Lu (b0100) 2007; 32 Hartely (b0040) 2001 Neuez, G. (2002). Simmons, K. P. (2002). Springer Publisher. Hilton, Beresford, Gentils, Smith, Sun, Illingworth (b0045) 2000; 16 TC Wang, Wang, Chang, Yuen (b0095) 2003; 35 Seo, Yeo, Wohn (b0075) 2006; 3942 (pp. 64–72). Freeman, Davis (b0035) 1977; C-26 Simmons, Istook (b0085) 2001 Freeman (10.1016/j.eswa.2010.08.048_b0030) 1961; 10 Hilton (10.1016/j.eswa.2010.08.048_b0045) 2000; 16 Hartely (10.1016/j.eswa.2010.08.048_b0040) 2001 Seldon (10.1016/j.eswa.2010.08.048_b0070) 1940 Lu (10.1016/j.eswa.2010.08.048_b0055) 2008; 35 10.1016/j.eswa.2010.08.048_b0005 Canny (10.1016/j.eswa.2010.08.048_b0010) 1986; 8 10.1016/j.eswa.2010.08.048_b0015 Douty (10.1016/j.eswa.2010.08.048_b0020) 1968; 39 10.1016/j.eswa.2010.08.048_b0025 Simmons (10.1016/j.eswa.2010.08.048_b0085) 2001 Wang (10.1016/j.eswa.2010.08.048_b0100) 2007; 32 Wang (10.1016/j.eswa.2010.08.048_b0095) 2003; 35 10.1016/j.eswa.2010.08.048_b0065 10.1016/j.eswa.2010.08.048_b0080 Lee (10.1016/j.eswa.2010.08.048_b0050) 2000; 19 Freeman (10.1016/j.eswa.2010.08.048_b0035) 1977; C-26 Seo (10.1016/j.eswa.2010.08.048_b0075) 2006; 3942 10.1016/j.eswa.2010.08.048_b0090 Meunier (10.1016/j.eswa.2010.08.048_b0060) 2000; 31 |
| References_xml | – volume: 35 start-page: 577 year: 2003 end-page: 589 ident: b0095 article-title: Virtual human modeling from photographs for garment industry publication-title: Computer-Aided Design – reference: Douty, H. (1968b). Silhouette photography for the study of visual somatotmetry and body image. In – start-page: 48 year: 2001 end-page: 52 ident: b0085 article-title: Comparison of 3-dimensional body scanner for use potential publication-title: Textile Asia – reference: Arlow, J., Lawrence, K., & Treleaven, P. (2001). Body XML draft specification. e-T Cluster IST-2000-26084, Bodymetrics and UCL, UK. – volume: 39 start-page: 21 year: 1968 end-page: 34 ident: b0020 article-title: Visual somatometry in health related research publication-title: Journal of the Alabama Academy of Science – volume: 19 year: 2000 ident: b0050 article-title: Generating animatable 3D virtual humans from photographs publication-title: Eurographics. Computer Graphics Forum – volume: 3942 start-page: 849 year: 2006 end-page: 860 ident: b0075 article-title: 3D body reconstruction from photos based on range scan publication-title: Lecture Notes in Computer Science – volume: 16 start-page: 411 year: 2000 end-page: 436 ident: b0045 article-title: Whole-body modelling of people from multiview images to populate virtual worlds publication-title: The Visual Computer – volume: 10 start-page: 264 year: 1961 end-page: 268 ident: b0030 article-title: On the encoding of arbitrary geometric configuration publication-title: IRE Transactions on Electronics Computers – reference: Simmons, K. P. (2002). – reference: . Springer Publisher. – volume: 32 start-page: 109 year: 2007 end-page: 115 ident: b0100 article-title: Automated anthropomorphic data collection from 3D human models publication-title: International Journal of Advanced Manufacturing Technology – reference: (TC) – reference: . PhD thesis, Department of Textile Technology and Management, North Carolina State University. – volume: 8 start-page: 679 year: 1986 end-page: 698 ident: b0010 article-title: A computational approach to edge detection publication-title: IEEE Transactions on Pattern Analysis and Machine Intelligence – reference: Neuez, G. (2002). – year: 2001 ident: b0040 article-title: Multiple view geometry in computer vision – volume: 31 start-page: 445 year: 2000 end-page: 451 ident: b0060 article-title: Performance of a 2D image-based anthropometric measurement and clothing sizing system publication-title: Applied Ergonomics – year: 1940 ident: b0070 article-title: The varieties of human physique: An introduction to constitutional psychology – reference: scanner selected for Size-UK (2001). Press Release. Available from: Textile/Clothing Technology Corporation, 318 Gregson Drive, Cary, NC 65211. – volume: 35 start-page: 407 year: 2008 end-page: 414 ident: b0055 article-title: Automated data collection using 3D whole body scanner publication-title: Expert Systems with Applications – reference: . PhD thesis, Department of Signals and Systems, Chalmers University of Technology. – volume: C-26 start-page: 297 year: 1977 end-page: 303 ident: b0035 article-title: A corner-finding algorithm for chain-coded curves publication-title: IEEE Transactions on Computers – reference: Cordier, F., Lee, W., Seo, H., & Magnenat-Thalmann, N. (2001). From 2D photos of yourself to virtual try-on dress on the web. – reference: (pp. 64–72). – volume: 31 start-page: 445 issue: 5 year: 2000 ident: 10.1016/j.eswa.2010.08.048_b0060 article-title: Performance of a 2D image-based anthropometric measurement and clothing sizing system publication-title: Applied Ergonomics doi: 10.1016/S0003-6870(00)00023-5 – volume: 19 issue: 3 year: 2000 ident: 10.1016/j.eswa.2010.08.048_b0050 article-title: Generating animatable 3D virtual humans from photographs publication-title: Eurographics. Computer Graphics Forum – volume: C-26 start-page: 297 issue: 3 year: 1977 ident: 10.1016/j.eswa.2010.08.048_b0035 article-title: A corner-finding algorithm for chain-coded curves publication-title: IEEE Transactions on Computers doi: 10.1109/TC.1977.1674825 – volume: 35 start-page: 407 year: 2008 ident: 10.1016/j.eswa.2010.08.048_b0055 article-title: Automated data collection using 3D whole body scanner publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2007.07.008 – ident: 10.1016/j.eswa.2010.08.048_b0065 – ident: 10.1016/j.eswa.2010.08.048_b0080 – year: 1940 ident: 10.1016/j.eswa.2010.08.048_b0070 – ident: 10.1016/j.eswa.2010.08.048_b0005 – volume: 10 start-page: 264 year: 1961 ident: 10.1016/j.eswa.2010.08.048_b0030 article-title: On the encoding of arbitrary geometric configuration publication-title: IRE Transactions on Electronics Computers – volume: 35 start-page: 577 issue: 6 year: 2003 ident: 10.1016/j.eswa.2010.08.048_b0095 article-title: Virtual human modeling from photographs for garment industry publication-title: Computer-Aided Design doi: 10.1016/S0010-4485(02)00080-5 – ident: 10.1016/j.eswa.2010.08.048_b0025 – year: 2001 ident: 10.1016/j.eswa.2010.08.048_b0040 – volume: 16 start-page: 411 issue: 7 year: 2000 ident: 10.1016/j.eswa.2010.08.048_b0045 article-title: Whole-body modelling of people from multiview images to populate virtual worlds publication-title: The Visual Computer doi: 10.1007/PL00013395 – start-page: 48 year: 2001 ident: 10.1016/j.eswa.2010.08.048_b0085 article-title: Comparison of 3-dimensional body scanner for use potential publication-title: Textile Asia – volume: 3942 start-page: 849 year: 2006 ident: 10.1016/j.eswa.2010.08.048_b0075 article-title: 3D body reconstruction from photos based on range scan publication-title: Lecture Notes in Computer Science doi: 10.1007/11736639_105 – volume: 32 start-page: 109 year: 2007 ident: 10.1016/j.eswa.2010.08.048_b0100 article-title: Automated anthropomorphic data collection from 3D human models publication-title: International Journal of Advanced Manufacturing Technology doi: 10.1007/s00170-005-0307-3 – ident: 10.1016/j.eswa.2010.08.048_b0090 – ident: 10.1016/j.eswa.2010.08.048_b0015 – volume: 8 start-page: 679 issue: 6 year: 1986 ident: 10.1016/j.eswa.2010.08.048_b0010 article-title: A computational approach to edge detection publication-title: IEEE Transactions on Pattern Analysis and Machine Intelligence doi: 10.1109/TPAMI.1986.4767851 – volume: 39 start-page: 21 issue: 1 year: 1968 ident: 10.1016/j.eswa.2010.08.048_b0020 article-title: Visual somatometry in health related research publication-title: Journal of the Alabama Academy of Science |
| SSID | ssj0017007 |
| Score | 2.1686945 |
| Snippet | ► Body feature points can be extracted from front and side images. ► A shape coding algorithm detects the variation of the human body silhouette. ► The... |
| SourceID | crossref elsevier |
| SourceType | Enrichment Source Index Database Publisher |
| StartPage | 2585 |
| SubjectTerms | Body feature points Contour representation Human feature extraction Shape description |
| Title | Automated body feature extraction from 2D images |
| URI | https://dx.doi.org/10.1016/j.eswa.2010.08.048 |
| Volume | 38 |
| WOSCitedRecordID | wos000284863200140&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: 1873-6793 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017007 issn: 0957-4174 databaseCode: AIEXJ dateStart: 19950101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1JaxsxFBau00Mv3UvTjTn0NshosyUdTZPSGjcUmoJ7GrSZOiTjYI_T5N9HsqTxNITQFnoZhmE0iz7x9Onpve8B8F7OlRKKK4iZkZBZxqBQCkGrBdJCG-n0Vl1_yo-OxGwmv_Z605wLc3HK61pcXsrz_wq1v-bBDqmzfwF3-1B_wZ970P3Rw-6PfwT8eNMsPQ0NzHJpr8q520p3lt4Ir1Jd8G1KCTkoF2femKx_880H4eMmyTvnxLfOFncbvhOVB35s3E84zZPf1i0fTccXtYSTxaYuJ4OuWwF34qqiryvnu-yCi6LTkEOGY12dgYsmU3AKRzzWOcw2lYrO2KFdAzmMFXrSZOsXX_hWQx59CicDt_6lUgCeGKAoynlDIPtb-KrwUWGrQjDG7oE9wodS9MHe-PPhbNLuKnEU0-fzX6Qkqhjvd_NNtxOVDvk4fgweplVDMY5oPwE9Vz8Fj3JFjiIZ6GcAteAXAfwigV_swC8C-AU5KCL4z8H3j4fHHz7BVBMDGopQAy3DxkmCPQ8WFGnrRsoKYyyj1hmFg54U1ZI4RTWhXGOFsJlbyaSwxHnqS1-Afr2s3UtQeMyUJNxPcBoxxUaajqTyfFdq7h8jyD7AuQMqkwTjQ92S0ypHBp5UodOq0GlVKGbKxD4o2zbnUS7lzruHuV-rRPgikav8MLij3at_bPcaPNgN9Teg36w27i24by6axXr1Lo2WaxAveG0 |
| 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=Automated+body+feature+extraction+from+2D+images&rft.jtitle=Expert+systems+with+applications&rft.au=Lin%2C+Yueh-Ling&rft.au=Wang%2C+Mao-Jiun+J.&rft.date=2011-03-01&rft.pub=Elsevier+Ltd&rft.issn=0957-4174&rft.eissn=1873-6793&rft.volume=38&rft.issue=3&rft.spage=2585&rft.epage=2591&rft_id=info:doi/10.1016%2Fj.eswa.2010.08.048&rft.externalDocID=S0957417410008444 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0957-4174&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0957-4174&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0957-4174&client=summon |