Automatic extraction of upper body landmarks using Rhino and Grasshopper algorithms
Abstract The aim of this study is to develop algorithms for automatic landmark extraction on women with various upper body types and body inclinations using the Grasshopper algorithm editor, which enables the user to interact with the 3D modeling interface. First, 15 landmarks were defined based on...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2022-10-01
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| Series: | Fashion and Textiles |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40691-022-00302-y |
| _version_ | 1811335003348402176 |
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| author | Eun Joo Ryu Hwa Kyung Song |
| author_facet | Eun Joo Ryu Hwa Kyung Song |
| author_sort | Eun Joo Ryu |
| collection | DOAJ |
| description | Abstract The aim of this study is to develop algorithms for automatic landmark extraction on women with various upper body types and body inclinations using the Grasshopper algorithm editor, which enables the user to interact with the 3D modeling interface. First, 15 landmarks were defined based on the morphological features of 3D body surfaces and clothing applications, from which automatic landmark extraction algorithms were developed. To verify the accuracy of the algorithms on various body shapes, this study determined criteria for key body shape factors (BMI, neck slope, upper body slope, and shoulder slope) that influence each landmark position, classified them into body shape groups and sorted the scan samples for each body type using the 6th SizeKorea database. The statistical differences between the scan-derived measurements and the SizeKorea measurements were compared, with an allowable tolerance of ISO 20685. In the case of landmarks with significant differences, the algorithm was modified. It was found that the algorithms were successfully applied to various upper body shapes, which improved the reliability and accuracy of the algorithm. |
| first_indexed | 2024-04-13T17:17:32Z |
| format | Article |
| id | doaj.art-61a0baa52527411293cc84b23cd45f90 |
| institution | Directory Open Access Journal |
| issn | 2198-0802 |
| language | English |
| last_indexed | 2024-04-13T17:17:32Z |
| publishDate | 2022-10-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Fashion and Textiles |
| spelling | doaj.art-61a0baa52527411293cc84b23cd45f902022-12-22T02:38:05ZengSpringerOpenFashion and Textiles2198-08022022-10-019112310.1186/s40691-022-00302-yAutomatic extraction of upper body landmarks using Rhino and Grasshopper algorithmsEun Joo Ryu0Hwa Kyung Song1Department of Fashion Industry, Ewha Womans UniversityDepartment of Clothing and Textiles, Kyung Hee UniversityAbstract The aim of this study is to develop algorithms for automatic landmark extraction on women with various upper body types and body inclinations using the Grasshopper algorithm editor, which enables the user to interact with the 3D modeling interface. First, 15 landmarks were defined based on the morphological features of 3D body surfaces and clothing applications, from which automatic landmark extraction algorithms were developed. To verify the accuracy of the algorithms on various body shapes, this study determined criteria for key body shape factors (BMI, neck slope, upper body slope, and shoulder slope) that influence each landmark position, classified them into body shape groups and sorted the scan samples for each body type using the 6th SizeKorea database. The statistical differences between the scan-derived measurements and the SizeKorea measurements were compared, with an allowable tolerance of ISO 20685. In the case of landmarks with significant differences, the algorithm was modified. It was found that the algorithms were successfully applied to various upper body shapes, which improved the reliability and accuracy of the algorithm.https://doi.org/10.1186/s40691-022-00302-yUpper body shapeLandmarkAutomatic extraction3D body scanGrasshopper algorithm |
| spellingShingle | Eun Joo Ryu Hwa Kyung Song Automatic extraction of upper body landmarks using Rhino and Grasshopper algorithms Fashion and Textiles Upper body shape Landmark Automatic extraction 3D body scan Grasshopper algorithm |
| title | Automatic extraction of upper body landmarks using Rhino and Grasshopper algorithms |
| title_full | Automatic extraction of upper body landmarks using Rhino and Grasshopper algorithms |
| title_fullStr | Automatic extraction of upper body landmarks using Rhino and Grasshopper algorithms |
| title_full_unstemmed | Automatic extraction of upper body landmarks using Rhino and Grasshopper algorithms |
| title_short | Automatic extraction of upper body landmarks using Rhino and Grasshopper algorithms |
| title_sort | automatic extraction of upper body landmarks using rhino and grasshopper algorithms |
| topic | Upper body shape Landmark Automatic extraction 3D body scan Grasshopper algorithm |
| url | https://doi.org/10.1186/s40691-022-00302-y |
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