| DOI | Resolve DOI: https://doi.org/10.1007/s00138-011-0361-9 |
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| Author | Search for: Wuhrer, Stefanie1; Search for: Xi, Pengcheng1; Search for: Shu, Chang1 |
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| Affiliation | - National Research Council of Canada. NRC Institute for Information Technology
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| Format | Text, Article |
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| Subject | shape correspondence; anthropometric landmarks; human models; landmark prediction |
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| Abstract | We consider the problem of computing accurate point-to-point correspondences among a set of human bodies in similar posture using a landmark-free approach. The approach learns the locations of the anthropometric landmarks present in a database of human models in similar 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 template model and the newly available scan. This study conducts a large-scale evaluation to examine the accuracy of the computed correspondences. Furthermore, we show that the correspondences are accurate enough for the application of motion transfer. |
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| Publication date | 2011-08-06 |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| NPARC number | 21268090 |
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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 | b5ac8679-e8c2-4e3d-95ce-d8ad0bbe9343 |
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| Record created | 2013-04-09 |
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| Record modified | 2020-04-21 |
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