Titlebook: Computer Vision -- ECCV 2012. Workshops and Demonstrations; Florence, Italy, Oct Andrea Fusiello,Vittorio Murino,Rita Cucchiara Conference

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Statistical Shape Analysis for Population Studies via Level-Set Based Shape Morphingnormal controls and patients. The synthetic databases allow quantitative evaluations of the proposed algorithm while the results obtained for the real clinical data are in line with published findings on gray matter reduction in the tested cortical and sub-cortical structures in schizophrenia patients.

Aprope

Stable Spectral Mesh Filteringthis paper, we analyze this problem and propose the fractional filtering approach, wherein we apply iteratively weak fractional powers of the filter, followed by the update of the basis functions. Experimental results show that such a process produces more plausible and meaningful results.

强所

3D Reconstruction of Non-Rigid Surfaces in Real-Time Using Wedge Elementsmable scenes from real imagery even for strong deformations. Crucially we also show, for the first time to the best of our knowledge, NRSfM (Non-Rigid Structure from Motion) at 30Hz real-time over real imagery. Real-time can be achieved for our 3D FEM formulation combined with an EKF resulting in accurate estimates even for small size maps.

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颠簸下上

Income Distribution and Social Expendituresal search strategy is adopted to merge the repeatable contour fragments for obtaining a complete shape. The output of our algorithm is used as an input to a sketch-based object-recognizer with results that are either better, or on par with those obtained with the ground truth sketches provided with the dataset.

Commonwealth

https://doi.org/10.1007/978-981-15-4242-8matching. The proposed approach successfully combines global planning and local greedy search strategies to select new rendering locations incrementally. We report quantitative and qualitative results from synthesized and real experiments, where we achieve a computational speedup of around 4X.

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气候

International Economic Association Seriesation routine that computes motion and reconstruction at the same time. Results show that the optimization routine is able to estimate motion accurately, assuming only the type of parametrization for the motion model. Our approach can potentially be extended to more complex motion models.