| EPSRC Reference: |
GR/R05338/01 |
| Title: |
Automatic Segmentation and Fitting of Whole Human Body Shape |
| Principal Investigator: |
Siebert, Dr J |
| Other Investigators: |
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| Department: |
School of Computing Science |
| Organisation: |
University of Glasgow |
| Scheme: |
Fast Stream |
| Starts: |
01 October 2001 |
Ends: |
30 September 2004 |
Value (£): |
55,969
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| EPSRC Industrial Sector Classifications: |
| Healthcare |
Creative Industries |
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Summary on Grant Application Form |
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We have recently seen development of relatively inexpensive human body scanners which provide digitised human body surfaces and associated colour data. This has opened new perspectives for the exploitation of human body scanners in diverse sectors. For such purposes it is necessary to establish appropriate mechanisms on how to treat, process and represent 3D acquired data taking into account the articulated structure of the human body and the deformability of its shape. Our survey on work related to human body modelling shows that reliable automatic extraction, analysis and fitting of the human body parts have not yet been achieved. This project aims to take up some of these challenges using:1) segmentation of body silhouettes, local surface analysis and knowledge of the human body template.2) surface models based on implicit functions that incorporate the specific shape characteristics of the body parts and3) a data registration technique which can handle the change of surface shape between postures. Here we are aiming to contribute to bridging the gap between human body scanner technology and various applications.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.gla.ac.uk |