Mathieu Desbrun: Power Coordinates. A Geometric Construction of Barycentric Coordinates on Convex Polytopes.

November 10, at 14:15 in room Byron blanc (downstairs) In this talk, we introduce a full geometric parameterization of generalized barycentric coordinates on convex polytopes. We show that these continuous and non-negative coefficients ensuring linear precision can be efficiently and exactly computed through a power diagram of the polytope’s vertices…

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David Bommes: Applied Optimization (not only) for Geometry Processing

Abstract: Countless techniques in geometry processing can be described variationally, that is, as the minimization or maximization of an objective function measuring shape properties. Algorithms for parameterization, mapping, quad meshing, alignment, smoothing, and other tasks can be expressed and solved in this powerful language. With this motivation in mind, this…

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Jean-Dominique Favreau: Fidelity vs. Simplicity: a Global Approach to Line Drawing Vectorization

Abstract: Vector drawing is a popular representation in graphic design because of the precision, compactness and editability offered by parametric curves. However, prior work on line drawing vectorization focused solely on faithfully capturing input bitmaps, and largely overlooked the problem of producing a compact and editable curve network. As a…

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Dorothy Liuyun Duan: Towards large-scale city reconstruction from satellites

Title: Towards large-scale city reconstruction from satellites Abstract: Automatic city modeling from satellite imagery is one of the biggest challenges in urban reconstruction. Existing methods produce at best rough and dense Digital Surface Models. Inspired by recent works on semantic 3D reconstruction and region-based stereovision, we propose a method for producing compact, semantic-aware and geometrically…

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Emmanuel Maggiori: Learning an iterative process to enhance satellite image classification maps

Abstract: We address the automatic pixelwise labeling of satellite images with convolutional neural networks. These networks tend to lose spatial precision in the process, outputting coarse classification maps that do not accurately outline the objects. While specific enhancement algorithms have been designed in the literature to improve such coarse neural…

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