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CAIP
2011
Springer
225views Image Analysis» more  CAIP 2011»
13 years 9 months ago
Shape Description by Bending Invariant Moments
Abstract. A simple scheme is presented for modifying geometric moments to use geodesic distances. This provides a set of global shape descriptors that are invariant to bending as w...
Paul L. Rosin
TOG
2012
273views Communications» more  TOG 2012»
13 years 1 days ago
Functional maps: a flexible representation of maps between shapes
We present a novel representation of maps between pairs of shapes that allows for efficient inference and manipulation. Key to our approach is a generalization of the notion of m...
Maks Ovsjanikov, Mirela Ben-Chen, Justin Solomon, ...
ISBI
2007
IEEE
15 years 3 months ago
Shape Analysis Using Curvature-Based Descriptors and Profile Hidden Markov Models
This paper presents a new framework for shape modeling and analysis. A shape instance is described by a curvature-based shape descriptor. A Profile Hidden Markov Model (PHMM) is ...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
95
Voted
CVPR
2012
IEEE
13 years 1 days ago
Learning to segment dense cell nuclei with shape prior
We study the problem of segmenting multiple cell nuclei from GFP or Hoechst stained microscope images with a shape prior. This problem is encountered ubiquitously in cell biology ...
Xinghua Lou, Ullrich Köthe, Jochen Wittbrodt,...
ACCV
2007
Springer
15 years 3 months ago
Coarse-to-Fine Statistical Shape Model by Bayesian Inference
In this paper, we take a predefined geometry shape as a constraint for accurate shape alignment. A shape model is divided in two parts: fixed shape and active shape. The fixed shap...
Ran He, Stan Z. Li, Zhen Lei, ShengCai Liao