Guidelines for Accurate Multi-Temporal Model Registration of 3D Scanned Objects
Changes in object morphology can be quantified using 3D optical scanning to generate 3D models of an object at different time points. This process requires registration techniques that align target and reference 3D models using mapping functions based on common object features that are unaltered ove...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Journal of Imaging |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2313-433X/9/2/43 |
| _version_ | 1827757024000081920 |
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| author | Kate J. Benfield Dylan E. Burruel Trevor J. Lujan |
| author_facet | Kate J. Benfield Dylan E. Burruel Trevor J. Lujan |
| author_sort | Kate J. Benfield |
| collection | DOAJ |
| description | Changes in object morphology can be quantified using 3D optical scanning to generate 3D models of an object at different time points. This process requires registration techniques that align target and reference 3D models using mapping functions based on common object features that are unaltered over time. The goal of this study was to determine guidelines when selecting these localized features to ensure robust and accurate 3D model registration. For this study, an object of interest (tibia bone replica) was 3D scanned at multiple time points, and the acquired 3D models were aligned using a simple cubic registration block attached to the object. The size of the registration block and the number of planar block surfaces selected to calculate the mapping functions used for 3D model registration were varied. Registration error was then calculated as the average linear surface variation between the target and reference tibial plateau surfaces. We obtained very low target registration errors when selecting block features with an area equivalent to at least 4% of the scanning field of view. Additionally, we found that at least two orthogonal surfaces should be selected to minimize registration error. Therefore, when registering 3D models to measure multi-temporal morphological change (e.g., mechanical wear), we recommend selecting multiplanar features that account for at least 4% of the scanning field of view. For the first time, this study has provided guidelines for selecting localized object features that can provide accurate 3D model registration for 3D scanned objects. |
| first_indexed | 2024-03-11T08:36:40Z |
| format | Article |
| id | doaj.art-97d9d79b5c854ffbb5c110f8f8bdec1a |
| institution | Directory Open Access Journal |
| issn | 2313-433X |
| language | English |
| last_indexed | 2024-03-11T08:36:40Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Imaging |
| spelling | doaj.art-97d9d79b5c854ffbb5c110f8f8bdec1a2023-11-16T21:25:13ZengMDPI AGJournal of Imaging2313-433X2023-02-01924310.3390/jimaging9020043Guidelines for Accurate Multi-Temporal Model Registration of 3D Scanned ObjectsKate J. Benfield0Dylan E. Burruel1Trevor J. Lujan2Biomedical Engineering Doctoral Program, Boise State University, Boise, ID 83725, USADepartment of Mechanical and Biomedical Engineering, Boise State University, Boise, ID 83725, USADepartment of Mechanical and Biomedical Engineering, Boise State University, Boise, ID 83725, USAChanges in object morphology can be quantified using 3D optical scanning to generate 3D models of an object at different time points. This process requires registration techniques that align target and reference 3D models using mapping functions based on common object features that are unaltered over time. The goal of this study was to determine guidelines when selecting these localized features to ensure robust and accurate 3D model registration. For this study, an object of interest (tibia bone replica) was 3D scanned at multiple time points, and the acquired 3D models were aligned using a simple cubic registration block attached to the object. The size of the registration block and the number of planar block surfaces selected to calculate the mapping functions used for 3D model registration were varied. Registration error was then calculated as the average linear surface variation between the target and reference tibial plateau surfaces. We obtained very low target registration errors when selecting block features with an area equivalent to at least 4% of the scanning field of view. Additionally, we found that at least two orthogonal surfaces should be selected to minimize registration error. Therefore, when registering 3D models to measure multi-temporal morphological change (e.g., mechanical wear), we recommend selecting multiplanar features that account for at least 4% of the scanning field of view. For the first time, this study has provided guidelines for selecting localized object features that can provide accurate 3D model registration for 3D scanned objects.https://www.mdpi.com/2313-433X/9/2/43structured light 3D scanningmechanical wearhuman tibiakneeimage registrationregistration error |
| spellingShingle | Kate J. Benfield Dylan E. Burruel Trevor J. Lujan Guidelines for Accurate Multi-Temporal Model Registration of 3D Scanned Objects Journal of Imaging structured light 3D scanning mechanical wear human tibia knee image registration registration error |
| title | Guidelines for Accurate Multi-Temporal Model Registration of 3D Scanned Objects |
| title_full | Guidelines for Accurate Multi-Temporal Model Registration of 3D Scanned Objects |
| title_fullStr | Guidelines for Accurate Multi-Temporal Model Registration of 3D Scanned Objects |
| title_full_unstemmed | Guidelines for Accurate Multi-Temporal Model Registration of 3D Scanned Objects |
| title_short | Guidelines for Accurate Multi-Temporal Model Registration of 3D Scanned Objects |
| title_sort | guidelines for accurate multi temporal model registration of 3d scanned objects |
| topic | structured light 3D scanning mechanical wear human tibia knee image registration registration error |
| url | https://www.mdpi.com/2313-433X/9/2/43 |
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