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» Shapes as empirical distributions
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PAMI
2011
14 years 4 months ago
Approximately Global Optimization for Robust Alignment of Generalized Shapes
—In this paper, we introduce a novel method to solve shape alignment problems. We use gray-scale “images” to represent source shapes, and propose a novel two-component Gaussi...
Hongsheng Li, Tian Shen, Xiaolei Huang
CHI
2008
ACM
15 years 10 months ago
Interlaced QWERTY: accommodating ease of visual search and input flexibility in shape writing
Shape writing is an input technology for touch-screen mobile phones and pen-tablets. To shape write text, the user spells out word patterns by sliding a finger or stylus over a gr...
Shumin Zhai, Per Ola Kristensson
PAMI
2006
230views more  PAMI 2006»
14 years 9 months ago
Shape Registration in Implicit Spaces Using Information Theory and Free Form Deformations
We present a novel variational and statistical approach for shape registration. Shapes of interest are implicitly embedded in a higher dimensional space of distance transforms. In...
Xiaolei Huang, Nikos Paragios, Dimitris N. Metaxas
ECCV
2010
Springer
14 years 10 months ago
Geodesic Shape Retrieval via Optimal Mass Transport
This paper presents a new method for 2-D and 3-D shape retrieval based on geodesic signatures. These signatures are high dimensional statistical distributions computed by extractin...
Julien Rabin, Gabriel Peyré, Laurent D. Coh...
KDD
2002
ACM
155views Data Mining» more  KDD 2002»
15 years 10 months ago
SyMP: an efficient clustering approach to identify clusters of arbitrary shapes in large data sets
We propose a new clustering algorithm, called SyMP, which is based on synchronization of pulse-coupled oscillators. SyMP represents each data point by an Integrate-and-Fire oscill...
Hichem Frigui