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Summary form only given. In my talk I will present some surface reconstruction techniques that handle imperfect data. Such data is common in raw scans and contains large missing parts, ghost outliers and under-sampled regions. We explore reconstruction techniques that focus on such problematic regions. Our general goal is recovering the expected shape in terms of global topology and local geometric...
We advocate the use of point sets to represent shapes. We provide a definition of a smooth manifold surface from a set of points close to the original surface. The definition is based on local maps from differential geometry, which are approximated by the method of moving least squares (MLS). We present tools to increase or decrease the density of the points, thus, allowing an adjustment of the spacing...
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