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- W1730334168 abstract "This paper adresses the problem of estimating shape and pose parameters of a 3D-non-rigid model from a single image. We introduce a new fast and robust method to minimize reprojection error between 3D model and feature image points. For this purpose, a recursive process is proposed. First, pose is roughly approximated using a rigid model. This permits to analytically determine shape parameters. Pose and shape are updated in an iterative way. Tests carried out on both synthetic and real data using the CANDIDE-3 parameterized mesh[1] are very promising." @default.
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- W1730334168 date "2008-01-01" @default.
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- W1730334168 title "Recursive Shape and Pose Determination Using Deformable Model" @default.
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- W1730334168 doi "https://doi.org/10.1007/978-3-540-85920-8_73" @default.
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