Probabilistic simultaneous pose and non-rigid shape recovery
Cita com:
hdl:2117/15233
Tipus de documentText en actes de congrés
Data publicació2011
Condicions d'accésAccés obert
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
We 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.
CitacióMoreno, F.; Porta, J.M. Probabilistic simultaneous pose and non-rigid shape recovery. A: IEEE Conference on Computer Vision and Pattern Recognition. "Proceedings of the 2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition". Colorado Springs: 2011, p. 1289-1296.
Versió de l'editorhttp://dx.doi.org/10.1109/CVPR.2011.5995532
Col·leccions
- IRI - Institut de Robòtica i Informàtica Industrial, CSIC-UPC - Ponències/Comunicacions de congressos [576]
- VIS - Visió Artificial i Sistemes Intel·ligents - Ponències/Comunicacions de congressos [292]
- ROBiri - Grup de Percepció i Manipulació Robotitzada de l'IRI - Ponències/Comunicacions de congressos [252]
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1252-Probabilis ... n-Rigid-Shape-Recovery.pdf | 1,873Mb | Visualitza/Obre |