Exploring ambiguities for monocular non-rigid shape estimation
Visualitza/Obre
10.1007/978-3-642-15558-1_27
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/12544
Tipus de documentText en actes de congrés
Data publicació2010
EditorSpringer
Condicions d'accésAccés obert
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continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
Recovering the 3D shape of deformable surfaces from single images is difficult because many different shapes have very similar projections. This is commonly addressed by restricting the set of possible shapes to linear combinations of deformation modes and by imposing additional geometric constraints. Unfortunately, because image measurements are noisy, such constraints do not always guarantee that the correct shape
will be recovered. To overcome this limitation, we introduce an efficient
approach to exploring the set of solutions of an objective function based on point-correspondences and to proposing a small set of candidate 3D shapes. This allows the use of additional image information to choose
the best one. As a proof of concept, we use either motion or shading cues to this end and show that we can handle a complex objective function without having to solve a difficult non-linear minimization problem.
CitacióMoreno, F.; Porta, J.; Fua, P. Exploring ambiguities for monocular non-rigid shape estimation. A: European Conference on Computer Vision. "11th European Conference on Computer Vision". Creta: Springer, 2010, p. 370-383.
Versió de l'editorhttp://dx.doi.org/10.1007/978-3-642-15558-1_27
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