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Variational principles, surface evolution, PDEs, level set methods, and the stereo problem
We present a novel geometric approach for solving the stereo problem for an arbitrary number of images (= or >2). It is based upon the definition of a variational principle that must be satisfied byExpand
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A common formalism for the Integral formulations of the forward EEG problem
The forward electroencephalography (EEG) problem involves finding a potential V from the Poisson equation /spl nabla//spl middot/(/spl sigma//spl nabla/V)=f, in which f represents electrical sourcesExpand
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Variational principles, surface evolution, PDE's, level set methods and the stereo problem
We present a novel geometric approach for solving the stereo problem for an arbitrary number of images (greater than or equal to 2). It is based upon the definition of a variational principle thatExpand
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High Accuracy and Visibility-Consistent Dense Multiview Stereo
Since the initial comparison of Seitz et al. [48], the accuracy of dense multiview stereovision methods has been increasing steadily. A number of limitations, however, make most of these methods notExpand
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Efficient Multi-View Reconstruction of Large-Scale Scenes using Interest Points, Delaunay Triangulation and Graph Cuts
We present a novel method to reconstruct the 3D shape of a scene from several calibrated images. Our motivation is that most existing multi-view stereovision approaches require some knowledge of theExpand
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Robust and Efficient Surface Reconstruction From Range Data
We describe a robust but simple algorithm to reconstruct a surface from a set of merged range scans. Our key contribution is the formulation of the surface reconstruction problem as an energyExpand
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CURVES: Curve evolution for vessel segmentation
The vasculature is of utmost importance in neurosurgery. Direct visualization of images acquired with current imaging modalities, however, cannot provide a spatial representation of small vessels.Expand
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Multi-View Stereo Reconstruction and Scene Flow Estimation with a Global Image-Based Matching Score
We present a new variational method for multi-view stereovision and non-rigid three-dimensional motion estimation from multiple video sequences. Our method minimizes the prediction error of the shapeExpand
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Modelling dynamic scenes by registering multi-view image sequences
In this paper, we present a new variational method for multi-view stereovision and non-rigid three-dimensional motion estimation from multiple video sequences. Our method minimizes the predictionExpand
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Towards high-resolution large-scale multi-view stereo
Boosted by the Middlebury challenge, the precision of dense multi-view stereovision methods has increased drastically in the past few years. Yet, most methods, although they perform well on thisExpand
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