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Probabilistic simultaneous pose and non-rigid shape recovery

AutorMoreno-Noguer, Francesc; Porta, Josep M.
Fecha de publicación2011
EditorInstitute of Electrical and Electronics Engineers
CitaciónIEEE Conference on Computer Vision and Pattern Recognition: 1289-1296 (2011)
ResumenWe present an algorithm to simultaneously recover non- rigid shape and camera poses from point correspondences between a reference shape and a sequence of input images. The key novel contribution of our approach is in bringing the tools of the probabilistic SLAM methodology from a rigid to a deformable domain. Under the assumption that the shape may be represented as a weighted sum of deformation modes, we show that the problem of estimating the modal weights along with the camera poses, may be probabilistically formulated as a maximum a posterior estimate and solved using an iterative least squares optimization. An extensive evaluation on synthetic and real data, shows that our approach has several significant advantages over current approaches, such as performing robustly under large amounts of noise and outliers, and neither requiring to track points over the whole sequence nor initializations close from the ground truth solution.
DescripciónTrabajo presentado al CVPR 2011 celebrado en Providence (USA) del 20 al 25 de junio.
Versión del editorhttp://dx.doi.org/10.1109/CVPR.2011.5995532
Identificadoresdoi: 10.1109/CVPR.2011.5995532
isbn: 978-1-4577-0394-2
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