Raquel Ramos Pinho

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This paper presents a methodology to do morphing between image represented objects, attending to their physical properties. It can be used amongst images of different objects, or otherwise, between different images of the same object.According to the used methodology the given objects are modelled by the Finite Element Method, and some nodes are matched by(More)
This paper presents a physics-based approach to obtain 2D or 3D dynamic pedobarography transitional objects from two given images (2D or 3D). With the used methodology, we match nodes of the input objects by using modal matching, improved with optimization techniques, and solve the Lagrangian dynamic equilibrium equation to obtain the intermediate shapes.(More)
We address the problem of tracking efficiently feature points along image sequences. To estimate the undergoing movement we use an approach based on Kalman filtering which performs the prediction and correction of the features movement in every image frame. In this paper measured data is incorporated by optimizing the global correspondence set based on(More)
This paper presents a physical approach to simulate objects deformation in images. To physically model the given objects the finite element method is used, and to match the objects' nodes modal analysis is considered. The desired displacement field is estimated through the dynamic equilibrium equation. To solve this differential equation different(More)
In this paper, it is presented a methodology to estimate the deformation involved between two objects attending to its physical properties. This methodology can be used, for example, in Computational Vision or Computer Graphics applications, and consists in physically modeling the objects, by means of the Finite Elements Method, establishing correspondences(More)
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