Author's posts

Oct 21

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 and the evaluation point. In …

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Sep 13

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 talk will cover important classes …

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Sep 13

Pierre Alliez: Low Distortion Inter-surface Mapping via Optimal Mass Transport

joint work with Manish Mandad, David Cohen-Steiner, Mathieu Desbrun and Leif Kobbelt. Recent advances based on entropic regularization are unleashing the power of optimal transport. In this talk I will present a novel approach for computing a homeomorphic map between two discrete surfaces. While most previous approaches compose maps over intermediate domains which result in …

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Sep 01

Stefanie Wuhrer: Alignment and Analysis of 3D Human Motion Sequences

Abstract:. In this talk, I will present our recent results related to aligning and analyzing data sequences consisting of 3D frames that capture a surface undergoing a motion. We focus on the motion of human body and face shapes, which are especially important in various applications including tele-presence and design tasks. Aligning these motion sequences, …

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May 31

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 result, existing algorithms tend to …

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May 30

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 accurate 3D city models from …

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May 16

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 network outputs, this requires a …

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Apr 11

PhD topic: Numerical Optimal Transport and Application to Geometry Processing

Thesis topic: Optimal transport is a powerful mathematical tool at the interface between calculus of variations, probability and partial differential equations. In the recent past concepts from finite dimensional classical geometry have been successfully transferred to infinite-dimensional spaces, where shapes are seen as probability densities, or where raw measurements are seen as discrete measures, i.e., …

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Sep 29

Nicolas Mellado: Analysis of Point Clouds at Multiple Scales

October 5th 2015, 10:30am in room Byron blanc Abstract: Over the last decades, the evolution of acquisition techniques yields the generalization of detailed 3D objects, represented as large point clouds composed of millions of vertices. The complexity of the involved data often requires to analyze them for the extraction and characterization of pertinent structures, which …

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Sep 08

Max Budninskiy (Caltech): Anisotropic meshing through functional approximation

Abstract: High quality isotropic meshing has been thoroughly studied in the past. Resulting techniques such as Optimal Delaunay Triangulation (ODT) and Centroidal Voronoi Tessellation (CVT) are well understood and widely used in a variety of applications.  However, anisotropic meshing presents a considerably more difficult challenge.  In this talk, we present anisotropic extensions of these high …

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