Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/105140
DC Field | Value | Language |
---|---|---|
dc.contributor | School of Design | en_US |
dc.contributor | Department of Biomedical Engineering | en_US |
dc.creator | Luximon, Y | en_US |
dc.creator | Martin, NJ | en_US |
dc.creator | Ball, R | en_US |
dc.creator | Zhang, M | en_US |
dc.date.accessioned | 2024-04-03T01:46:29Z | - |
dc.date.available | 2024-04-03T01:46:29Z | - |
dc.identifier.issn | 2046-3375 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/105140 | - |
dc.language.iso | en | en_US |
dc.publisher | Inderscience Publishers | en_US |
dc.rights | Copyright © 2016 Inderscience Enterprises Ltd. | en_US |
dc.rights | This is the accepted manuscript of the following article: Luximon, Y., Martin, N. J., Ball, R., & Zhang, M. (2016). Merging the point clouds of the head and ear by using the iterative closest point method. International Journal of the Digital Human, 1(3), 305-317, which has been published in final form at https://doi.org/10.1504/IJDH.2016.079888. | en_US |
dc.subject | Computer-aided design | en_US |
dc.subject | Image analysis | en_US |
dc.subject | Digital human model | en_US |
dc.subject | 3D human model | en_US |
dc.subject | Human head and ear | en_US |
dc.title | Merging the point clouds of the head and ear by using the iterative closest point method | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 305 | en_US |
dc.identifier.epage | 317 | en_US |
dc.identifier.volume | 1 | en_US |
dc.identifier.issue | 3 | en_US |
dc.identifier.doi | 10.1504/IJDH.2016.079888 | en_US |
dcterms.abstract | Three dimensional (3D) surface body scanning technology has become an easy and rapid method for capturing the human shape. However, because most scanning systems rely on a direct line of sight, data is consistently missing in shadowed areas. When the head is scanned, data points at the back of the ear and the concha are consistently missing. To create an accurate head shape including the ear shape, the ear shape must be obtained separately. Efficiently merging the ear and head shapes is imperative before modelling and statistical analyses are performed. In this study, the ear and head shapes of the participants were obtained, and then the iterative closest point (ICP) method, a technique for aligning different objects in computer graphics, was applied to merge the ear and the corresponding head. This paper describes the principle and implementation of the procedure. The results indicated that the alignment error between the original ear from the head scan and the accurate ear was approximately 1.6 mm. The results of this study revealed that the method is beneficial to automatically aligning human 3D point cloud data accurately and efficiently. This method can be used for creating an accurate head and ear model for head- and face-related product design. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | International journal of the digital human, 2016, v. 1, no. 3, p. 305-317 | en_US |
dcterms.isPartOf | International journal of the digital human | en_US |
dcterms.issued | 2016 | - |
dc.identifier.eissn | 2046-3383 | en_US |
dc.description.validate | 202403 bckw | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | SD-0271 | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | The Hong Kong Polytechnic University | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 23625729 | - |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Luximon_Merging_Point_Clouds.pdf | Pre-Published version | 634.76 kB | Adobe PDF | View/Open |
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