| Download | - View accepted manuscript: Landmark-free posture invariant human shape correspondence (PDF, 972 KiB)
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| DOI | Resolve DOI: https://doi.org/10.1007/s00371-011-0557-z |
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| Author | Search for: Wuhrer, Stefanie1; Search for: Shu, Chang1; Search for: Xi, Pengcheng1 |
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| Affiliation | - National Research Council of Canada
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| Format | Text, Article |
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| Subject | shape correspondence; template fitting |
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| Abstract | We consider the problem of computing accurate point-to-point correspondences among a set of human bodies in varying postures using a landmark-free approach. The approach learns the locations of the anthropometric landmarks present in a database of human models in strongly varying postures and uses this knowledge to automatically predict the locations of these anthropometric landmarks on a newly available scan. The predicted landmarks are then used to compute point-to-point correspondences between a rigged template model and the newly available scan. |
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| Publication date | 2011-09 |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| NPARC number | 19688666 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | d17000be-e447-4850-a1a9-5ac63a25a5b2 |
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| Record created | 2012-03-21 |
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| Record modified | 2020-04-21 |
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