| Author | Search for: Xi, P.; Search for: Lee, W.-S.; Search for: Shu, Chang |
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| Format | Text, Article |
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| Conference | The 15th Pacific Conference on Computer Graphics and Applications: Pacific Graphics 2007, October 29 - November 2, 2007, Maui, Hawaii, USA |
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| Abstract | We present a data-driven approach to build a human body model from a single photograph by performing Principal Component Analysis (PCA) on a database of body segments.We segment a collection of human bodies to compile the required database prior to performing the analysis. Our approach then builds a single PCA for each body segment - head, left and right arms, torso and left and right legs - yielding six PCAs in total. This strategy improves on the flexibility of conventional data-driven approaches in 3D modeling and allows our approach to take variations in ethnicity, age and body posture into account. We demonstrate our approach in practice by constructing models of a Caucasian male, an Asian male and a toddler from corresponding photographs and a Caucasian adult oriented database. We also discuss rapid consistent parameterization based on Radial Basis Functions (RBF) and non-optimization based learning systems to reduce execution time. |
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| Publication date | 2007 |
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| In | |
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| Language | English |
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| NRC number | NRCC 49833 |
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| NPARC number | 5763603 |
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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 | 24acaf03-51ea-4dd3-8fa4-799afdf54ad5 |
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| Record created | 2009-03-29 |
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| Record modified | 2020-08-12 |
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