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» Surface Reconstruction using Learned Shape Models
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ECCV
2002
Springer
14 years 11 months ago
A Stochastic Algorithm for 3D Scene Segmentation and Reconstruction
In this paper, we present a stochastic algorithm by effective Markov chain Monte Carlo (MCMC) for segmenting and reconstructing 3D scenes. The objective is to segment a range image...
Feng Han, Zhuowen Tu, Song Chun Zhu
DAGM
2006
Springer
14 years 25 days ago
On-Line, Incremental Learning of a Robust Active Shape Model
Abstract. Active Shape Models are commonly used to recognize and locate different aspects of known rigid objects. However, they require an off-line learning stage, such that the ex...
Michael Fussenegger, Peter M. Roth, Horst Bischof,...
IPMI
2003
Springer
14 years 10 months ago
Learning Object Correspondences with the Observed Transport Shape Measure
Abstract. We propose a learning method which introduces explicit knowledge to the object correspondence problem. Our approach uses an a priori learning set to compute a dense corre...
Alain Pitiot, Hervé Delingette, Arthur W. T...
MIRAGE
2007
Springer
14 years 3 months ago
Fitting Subdivision Surface Models to Noisy and Incomplete 3-D Data
Abstract. We describe an algorithm for fitting a Catmull-Clark subdivision surface model to an unstructured, incomplete and noisy data set. We complete the large missing data regi...
Spela Ivekovic, Emanuele Trucco
GMP
2006
IEEE
118views Solid Modeling» more  GMP 2006»
14 years 3 months ago
Computing a Family of Skeletons of Volumetric Models for Shape Description
Skeletons are important shape descriptors in object representation and recognition. Typically, skeletons of volumetric models are computed using iterative thinning. However, tradi...
Tao Ju, Matthew L. Baker, Wah Chiu