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VERSION:2.0
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SUMMARY:Geometric and topological shape description using discrete curvatu
 re
DTSTART;VALUE=DATE:20200211
DTSTAMP:20260406T230221Z
UID:801ced721b1663eca1f544c25a19e5d774f4788835fe948d1a1bb132
CATEGORIES:Conferences - Seminars
DESCRIPTION:Jean-Luc Mari\nAbstract: We present two approaches to extract
  geometric features on meshes\, based on the use of discrete curvature est
 imators in order to define specific areas of interest before processing th
 ese meshes. The first part deals with the computation of feature lines usi
 ng a homotopic thinning algorithm transposed on specific regions of a mesh
 . To do this\, the notion of neighborhood is transposed from classical thi
 nning algorithms (where the adjacency is constant) to the mesh domain wher
 e the neighborhood is variable due to the adjacency of each vertex. In the
  second part\, we present a new shape descriptor for 3D meshes called SCG 
 for ”Shape-Curvature-Graph”. It aims at representing an arbitrary tria
 ngular polyhedron using a graph. A discrete curvature map is computed and 
 an adjacency graph is constructed with a node for each patch. We show that
  this specific shape-graph can be used to perform self-similarity detectio
 n\, or more generally to extract patterns within a shape.\n\nSpeaker: Jea
 n-Luc Mari\, Aix-Marseille University\n\nInformation about time and place 
 of the Applied Topology Seminar can be found on the webpage: https://www.
 epfl.ch/labs/hessbellwald-lab/seminar/apptopsem1920/
LOCATION:MA B2 485 https://plan.epfl.ch/?room==MA%20B2%20485
STATUS:CONFIRMED
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