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SUMMARY:Capturing Invariance from 3D Geometry
DTSTART:20100616T151500
DTSTAMP:20260406T170021Z
UID:15e2e9791ca2baa4508cf68b45a580fe53a75f39ccee38537a0312c5
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Niloy J. Mitra\, Indian Institute of Technology\nRecent 
 advances in geometry processing have resulted in a wide range of acquisiti
 on and modeling tools. Easy accessibility of such tools have lead to large
  online repositories for 3D polygonal models of shapes\, digitally acquire
 d from physical objects or modeled from scratch. However\, such polygonal 
 representations do not make specific the characteristics and invariants of
  the underlying shapes. In this talk\, I will describe shape analysis tech
 niques\, specially for detecting object symmetry\, i.e.\, invariance under
  the action of certain transformations. Such self-similarity is often rela
 ted to form\, function\, utility and aesthetics. As we enter the age of ea
 sily accessible 3D geometry\, analyzing their global properties and invari
 ants becomes important. I will describe a simple and powerful algorithm fo
 r detecting partial and approximate symmetries in 3D shapes\, and its gene
 ralization to detect regularity among the extracted symmetry transformatio
 ns. In the later part of the talk\, I will describe how such high-level sh
 ape invariants\, extracted in the analysis phase\, can be readily used in 
 a range of applications including shape completion\, smart geometry editin
 g\, motion visualization\, shape abstraction\, which are otherwise challen
 ging to perform.   Prof. Mitra's homepage
LOCATION:BC 01 https://plan.epfl.ch/?room==BC%2001
STATUS:CONFIRMED
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