Technical Papers
Shape Analysis
Monday, 6 August 9:00 AM - 10:30 AM | Los Angeles Convention Center, Room 408A
Session Chair: Richard Zhang, Simon Fraser University
Shape Analysis
Schelling Points on 3D Surface Meshes
This paper investigates "Schelling points" on 3D meshes, feature points selected by people in a pure coordination game due to their salience.
Xiaobai Chen
Princeton University
Abulhair Saparov
Princeton University
Bill Pang
Princeton University
Thomas Funkhouser
Princeton University
Functional Maps: A Flexible Representation of Maps Between Shapes
A novel representation that generalizes the standard notion of a map as a pairing of points. By concentrating on finding correspondences between generic functions defined by the shapes,
this method creates a representation that is multiscale, compact, and amenable to efficient optimization.
Maks Ovsjanikov
LIX, ´ Ecole Polytechnique
Mirela Ben-Chen
Stanford University
Justin Solomon
Stanford University
Adrian Butscher
Stanford University
Leonidas Guibas
Stanford University
Variational Mesh Decomposition
This variational algorithm for automatically decomposing 3D models into meaningful parts is developed using the Mumford-Shah model with spectral eigenvectors and handles partitioning and boundary smoothing simultaneously.
Juyong Zhang
Nanyang Technological University
Jianmin Zheng
Nanyang Technological University
Chunlin Wu
National University of Singapore
Jianfei Cai
Nanyang Technological University
Sketch-Based Shape Retrieval
A system for 3D object retrieval based on sketched feature lines as input. For objective evaluation, the technique develops a benchmark based on a large number of sketches from human users. In the resulting comparison, this approach is significantly better than any other system described so far.
Mathias Eitz
Technischen Universität Berlin
Ronald Richter
Technischen Universität Berlin
Tamy Boubekeur
Télécom ParisTech
Kristian Hildebrand
Technischen Universität Berlin
Marc Alexa
Technischen Universität Berlin