Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/105134
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | School of Fashion and Textiles | en_US |
| dc.contributor | School of Design | en_US |
| dc.creator | Ng, R | en_US |
| dc.creator | Luximon, Y | en_US |
| dc.creator | Cheung, JSL | en_US |
| dc.date.accessioned | 2024-04-03T01:46:27Z | - |
| dc.date.available | 2024-04-03T01:46:27Z | - |
| dc.identifier.uri | http://hdl.handle.net/10397/105134 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Federation of Asian Professional Textile Associations | en_US |
| dc.rights | Posted with permission of the author. | en_US |
| dc.subject | Body landmark | en_US |
| dc.subject | Automation | en_US |
| dc.subject | 3D scan | en_US |
| dc.title | Automatic recognition of biological body landmark | en_US |
| dc.type | Conference Paper | en_US |
| dcterms.abstract | Many different automated applications require the automatic recognition of biological body landmarks, such as biometric identification, and three-dimensional (3-D) body scanning. Some methods are based on the photographic image of a human subject [1]. Image analysis methods are based on clustering the regions of pixels according to the texture information [2]. Feature-based recognition from photographic image is possible too [3]. Other methods are based on the template matching [4]. In this article, the researchers present a framework that is based on the geometric information with examples and discussion on the actual application with 3-D body scanners. | en_US |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | The 14th Asian Textile Conference, Hong Kong, 27-30 Jun 2017 | en_US |
| dcterms.issued | 2017 | - |
| dc.relation.conference | Asian Textile Conference [ATC] | en_US |
| dc.description.validate | 202403 bckw | en_US |
| dc.description.oa | Not applicable | en_US |
| dc.identifier.FolderNumber | SD-0256 | - |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | The Hong Kong Polytechnic University | en_US |
| dc.identifier.OPUS | 24251194 | - |
| dc.description.oaCategory | Copyright retained by author | en_US |
| Appears in Collections: | Conference Paper | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Ng_Automatic_Recognition_Biological.pdf | 749.95 kB | Adobe PDF | View/Open |
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