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» Computing fundamental groups from point clouds
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SMA
2008
ACM
173views Solid Modeling» more  SMA 2008»
14 years 10 months ago
Visibility-based feature extraction from discrete models
In this paper, we present a new visibility-based feature extraction algorithm from discrete models as dense point clouds resulting from laser scans. Based on the observation that ...
Antoni Chica
SIGGRAPH
2010
ACM
15 years 3 months ago
Discrete scale axis representations for 3D geometry
This paper addresses the fundamental problem of computing stable medial representations of 3D shapes. We propose a spatially adaptive classification of geometric features that yi...
Balint Miklos, Joachim Giesen, Mark Pauly
CVPR
2011
IEEE
14 years 2 months ago
Max-margin Clustering: Detecting Margins from Projections of Points on Lines
Given a unlabelled set of points X ∈ RN belonging to k groups, we propose a method to identify cluster assignments that provides maximum separating margin among the clusters. We...
Raghuraman Gopalan, Jagan Sankaranarayanan
IJCV
2006
132views more  IJCV 2006»
14 years 10 months ago
Two-View Multibody Structure from Motion
We present an algebraic geometric approach to 3-D motion estimation and segmentation of multiple rigid-body motions from noise-free point correspondences in two perspective views. ...
René Vidal, Yi Ma, Stefano Soatto, Shankar ...
EDBT
2012
ACM
266views Database» more  EDBT 2012»
13 years 1 months ago
Stormy: an elastic and highly available streaming service in the cloud
In recent years, new highly scalable storage systems have significantly contributed to the success of Cloud Computing. Systems like Dynamo or Bigtable have underpinned their abil...
Simon Loesing, Martin Hentschel, Tim Kraska, Donal...