{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T09:16:06Z","timestamp":1771233366067,"version":"3.50.1"},"reference-count":32,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T00:00:00Z","timestamp":1764892800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2026,1,6]],"date-time":"2026-01-06T00:00:00Z","timestamp":1767657600000},"content-version":"vor","delay-in-days":32,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Complex Intell. Syst."],"published-print":{"date-parts":[[2026,2]]},"DOI":"10.1007\/s40747-025-02188-x","type":"journal-article","created":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T12:54:18Z","timestamp":1764939258000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A real-time mobile solution for shoe try-on using foot pose estimation and 3D processing techniques"],"prefix":"10.1007","volume":"12","author":[{"given":"Nguyen Hoang","family":"Vu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tran","family":"Van Duc","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pham Quang","family":"Tien","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nguyen Thi Ngoc","family":"Anh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7537-8708","authenticated-orcid":false,"given":"Nguyen Tien","family":"Dat","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,12,5]]},"reference":[{"key":"2188_CR1","doi-asserted-by":"crossref","unstructured":"Ge Y, Song Y, Zhang R, Ge C, Liu W, Luo P (2021) Parser-free virtual try-on via distilling appearance flows. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp 8485\u20138493","DOI":"10.1109\/CVPR46437.2021.00838"},{"key":"2188_CR2","doi-asserted-by":"crossref","unstructured":"Ge C, Song Y, Ge Y, Yang H, Liu W, Luo P (2021) Disentangled cycle consistency for highly-realistic virtual try-on. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp 16928\u201316937","DOI":"10.1109\/CVPR46437.2021.01665"},{"key":"2188_CR3","doi-asserted-by":"crossref","unstructured":"Han X, Hu X, Huang W, Scott MR (2019) Clothflow: a flow-based model for clothed person generation. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp 10471\u201310480","DOI":"10.1109\/ICCV.2019.01057"},{"key":"2188_CR4","doi-asserted-by":"crossref","unstructured":"Han X, Wu Z, Wu Z, Yu R, Davis LS (2018) Viton: an image-based virtual try-on network. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 7543\u20137552","DOI":"10.1109\/CVPR.2018.00787"},{"key":"2188_CR5","doi-asserted-by":"crossref","unstructured":"Hsieh C-W, Chen C-Y, Chou C-L, Shuai H-H, Liu J, Cheng W-H (2019) Fashionon: semantic-guided image-based virtual try-on with detailed human and clothing information. In: Proceedings of the 27th ACM International Conference on Multimedia, pp 275\u2013283","DOI":"10.1145\/3343031.3351075"},{"key":"2188_CR6","doi-asserted-by":"crossref","unstructured":"Wang B, Zheng H, Liang X, Chen Y, Lin L, Yang M (2018) Toward characteristic-preserving image-based virtual try-on network. In: Proceedings of the European Conference on Computer Vision (ECCV), pp 589\u2013604","DOI":"10.1007\/978-3-030-01261-8_36"},{"key":"2188_CR7","doi-asserted-by":"crossref","unstructured":"Chou C-T, Lee C-H, Zhang K, Lee H-C, Hsu WH (2019) Pivtons: Pose invariant virtual try-on shoe with conditional image completion. In: Computer Vision\u2013ACCV 2018: 14th Asian Conference on Computer Vision, Perth, Australia, December 2\u20136, 2018, Revised Selected Papers, Part VI 14, Springer, pp 654\u2013668","DOI":"10.1007\/978-3-030-20876-9_41"},{"key":"2188_CR8","doi-asserted-by":"crossref","unstructured":"An S, Che G, Guo J, Zhu H, Ye J, Zhou F, Zhu Z, Wei D, Liu A, Zhang W (2021) Arshoe: real-time augmented reality shoe try-on system on smartphones. In: Proceedings of the 29th ACM International Conference on Multimedia, pp 1111\u20131119","DOI":"10.1145\/3474085.3481537"},{"key":"2188_CR9","doi-asserted-by":"crossref","unstructured":"Lin T-Y, Maire M, Belongie S, Hays J, Perona P, Ramanan D, Doll\u00e1r P, Zitnick CL (2014) Microsoft coco: common objects in context. In: Computer Vision\u2013ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V 13, Springer, pp 740\u2013755","DOI":"10.1007\/978-3-319-10602-1_48"},{"key":"2188_CR10","doi-asserted-by":"crossref","unstructured":"Tran D, Forsyth D (2010) Improved human parsing with a full relational model. In: Computer Vision\u2013ECCV 2010: 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part IV 11, Springer, pp 227\u2013240","DOI":"10.1007\/978-3-642-15561-1_17"},{"key":"2188_CR11","unstructured":"Hidalgo G, Raaj Y, Idrees H, Xiang D, Joo H, Simon T, Sheikh Y (2019) Single-network whole-body pose estimation. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp 6982\u20136991"},{"key":"2188_CR12","doi-asserted-by":"crossref","unstructured":"Andriluka M, Pishchulin L, Gehler P, Schiele B (2014) 2d human pose estimation: new benchmark and state of the art analysis. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 3686\u20133693","DOI":"10.1109\/CVPR.2014.471"},{"key":"2188_CR13","doi-asserted-by":"crossref","unstructured":"Yu R, Wang X, Xie X (2019) Vtnfp: an image-based virtual try-on network with body and clothing feature preservation. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp 10511\u201310520","DOI":"10.1109\/ICCV.2019.01061"},{"key":"2188_CR14","unstructured":"Xu Y, Zhang J, Zhang Q, Tao D (2022) Vitpose: simple vision transformer baselines for human pose estimation. arXiv preprint arXiv:2204.12484"},{"key":"2188_CR15","doi-asserted-by":"crossref","unstructured":"Sun K, Xiao B, Liu D, Wang J (2019) Deep high-resolution representation learning for human pose estimation. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp 5693\u20135703","DOI":"10.1109\/CVPR.2019.00584"},{"key":"2188_CR16","doi-asserted-by":"crossref","unstructured":"Rad M, Lepetit V (2017) Bb8: a scalable, accurate, robust to partial occlusion method for predicting the 3d poses of challenging objects without using depth. In: Proceedings of the IEEE International Conference on Computer Vision, pp 3828\u20133836","DOI":"10.1109\/ICCV.2017.413"},{"key":"2188_CR17","doi-asserted-by":"crossref","unstructured":"Tekin B, Sinha SN, Fua P (2018) Real-time seamless single shot 6d object pose prediction. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 292\u2013301","DOI":"10.1109\/CVPR.2018.00038"},{"key":"2188_CR18","doi-asserted-by":"crossref","unstructured":"Zakharov S, Shugurov I, Ilic S (2019) Dpod: 6d pose object detector and refiner. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp 1941\u20131950","DOI":"10.1109\/ICCV.2019.00203"},{"key":"2188_CR19","unstructured":"Madsen K, Nielsen HB, Tingleff O (2004) Methods for non-linear least squares problems"},{"key":"2188_CR20","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1007\/s11263-008-0152-6","volume":"81","author":"V Lepetit","year":"2009","unstructured":"Lepetit V, Moreno-Noguer F, Fua P (2009) Ep n p: an accurate o (n) solution to the p n p problem. Int J Comput Vision 81:155\u2013166","journal-title":"Int J Comput Vision"},{"key":"2188_CR21","unstructured":"Howard AG, Zhu M, Chen B, Kalenichenko D, Wang W, Weyand T, Andreetto M, Adam H (2017) Mobilenets: efficient convolutional neural networks for mobile vision applications. arXiv preprint arXiv:1704.04861"},{"key":"2188_CR22","doi-asserted-by":"crossref","unstructured":"Sandler M, Howard A, Zhu M, Zhmoginov A, Chen L-C (2018) Mobilenetv2: inverted residuals and linear bottlenecks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 4510\u20134520","DOI":"10.1109\/CVPR.2018.00474"},{"key":"2188_CR23","doi-asserted-by":"crossref","unstructured":"Howard A, Sandler M, Chu G, Chen L-C, Chen B, Tan M, Wang W, Zhu Y, Pang R, Vasudevan V et al (2019) Searching for mobilenetv3. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp 1314\u20131324","DOI":"10.1109\/ICCV.2019.00140"},{"key":"2188_CR24","doi-asserted-by":"crossref","unstructured":"Shi W, Caballero J, Husz\u00e1r F, Totz J, Aitken AP, Bishop R, Rueckert D, Wang Z (2016) Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 1874\u20131883","DOI":"10.1109\/CVPR.2016.207"},{"key":"2188_CR25","doi-asserted-by":"crossref","unstructured":"Hu J, Shen L, Sun G (2018) Squeeze-and-excitation networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 7132\u20137141","DOI":"10.1109\/CVPR.2018.00745"},{"key":"2188_CR26","doi-asserted-by":"crossref","unstructured":"Jandial S, Chopra A, Ayush K, Hemani M, Krishnamurthy B, Halwai A (2020) Sievenet: a unified framework for robust image-based virtual try-on. In: Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision, pp 2182\u20132190","DOI":"10.1109\/WACV45572.2020.9093458"},{"key":"2188_CR27","doi-asserted-by":"crossref","unstructured":"Dong H, Liang X, Shen X, Wu B, Chen B-C, Yin J (2019) Fw-gan: flow-navigated warping gan for video virtual try-on. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp 1161\u20131170","DOI":"10.1109\/ICCV.2019.00125"},{"key":"2188_CR28","unstructured":"Duke B, Ahmed A, Phung E, Kezele I, Aarabi P (2019) Nail polish try-on: realtime semantic segmentation of small objects for native and browser smartphone ar applications. arXiv preprint arXiv:1906.02222"},{"key":"2188_CR29","doi-asserted-by":"crossref","unstructured":"Kobayashi T, Sugiura Y, Saito H, Uema Y (2019) Automatic eyeglasses replacement for a 3d virtual try-on system. In: Proceedings of the 10th Augmented Human International Conference 2019, pp 1\u20134","DOI":"10.1145\/3311823.3311854"},{"key":"2188_CR30","doi-asserted-by":"crossref","unstructured":"Cao Z, Simon T, Wei S-E, Sheikh Y (2017) Realtime multi-person 2d pose estimation using part affinity fields. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 7291\u20137299","DOI":"10.1109\/CVPR.2017.143"},{"key":"2188_CR31","doi-asserted-by":"crossref","unstructured":"Deng J, Dong W, Socher R, Li L-J, Li K, Fei-Fei L (2009) Imagenet: a large-scale hierarchical image database. In: 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp 248\u2013255. Ieee","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"2188_CR32","unstructured":"Loshchilov I, Hutter F (2017) Decoupled weight decay regularization. arXiv preprint arXiv:1711.05101"}],"container-title":["Complex &amp; Intelligent Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s40747-025-02188-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s40747-025-02188-x","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s40747-025-02188-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T08:24:06Z","timestamp":1771230246000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s40747-025-02188-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,5]]},"references-count":32,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2026,2]]}},"alternative-id":["2188"],"URL":"https:\/\/doi.org\/10.1007\/s40747-025-02188-x","relation":{},"ISSN":["2199-4536","2198-6053"],"issn-type":[{"value":"2199-4536","type":"print"},{"value":"2198-6053","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,12,5]]},"assertion":[{"value":"2 January 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 November 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 December 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors have no conflict of interest to declare.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"65"}}