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In this study, the authors propose a multi-view stereo reconstruction method which creates a three-dimensional point cloud of a scene from multiple calibrated images captured from different viewpoints. The method is based on a prioritised match expansion technique, which starts from a sparse set of seed points, and iteratively expands them into neighbouring areas by using multiple expansion stages...
We propose an extension to the non-rigid factorisation method to solve the affine structure and motion of a deformable object, where the shape basis is selected automatically. In contrast to earlier approaches, we assume a general uncalibrated, affine camera model whereas most of the previous approaches assume a special case such as an orthographic, weak-perspective or paraperspective camera model...
In medical applications, segmentation has become an ever more important task. One of the competitive schemes to perform such segmentation is by means of pixel classification. Simple pixel-based classification schemes can be improved by incorporating contextual label information. Various methods have been proposed to this end, e.g., iterative contextual pixel classification, iterated conditional modes,...
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