Based on resampling method, we present a morphable model for 3D face synthesis. The morphable model can reconstruct 3D face automatically from facial image by the combination of aligning prototypic 3D faces. But the p...
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ISBN:
(纸本)0780386876
Based on resampling method, we present a morphable model for 3D face synthesis. The morphable model can reconstruct 3D face automatically from facial image by the combination of aligning prototypic 3D faces. But the point-to-point alignment of 3D dense faces is a challengeable problem. The optical flow algorithm is used to compute the alignment by cylinder projective facial images. But this algorithm is a approximative and unstable method. We propose a mesh resampling method to do the alignment. Based on the resampling alignment a 3D face morpable model is constructed. And from the temporary data of mesh resampling a multi-resolution model is constructed to accelerate the model matching and improve its converging stability. The experimental results show, the resampling alignment is a contributive method for the morphable model in 3D face synthesis.
In this paper, we propose a new method for left ventricle (LV) motion estimation. The method is based on a point-constrained optical flow algorithm for heart motion estimation. The constrained points are the correspon...
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ISBN:
(纸本)0819435953
In this paper, we propose a new method for left ventricle (LV) motion estimation. The method is based on a point-constrained optical flow algorithm for heart motion estimation. The constrained points are the corresponding point pairs in subsequent images. The motion estimation of these characteristic points can be obtained using techniques such as shape-based tracking of perceptually salient points on the LV boundary. Knowing the motion of characteristic points the proposed algorithm is used to estimate motion at other image points. Using this approach the result of the optical flow algorithm is constrained by displacement of characteristic LV boundary points. The constraints are implemented by setting the values of the opticalflow of characteristic points to certain fixed values. The spatial and temporal continuity functionals are specified so that the fixed values influence their neighborhoods and the optical now field is interpolated between the constrained points. The experiments have been performed using ECG-gated MR images of the beating heart. The method has been applied to the image sequence and estimation of the motion field has been computed.
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