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» CAD-Based Shape Optimization Using a Meshfree Method
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ECCV
2002
Springer
15 years 11 months ago
Learning Shape from Defocus
We present a novel method for inferring three-dimensional shape from a collection of defocused images. It is based on the observation that defocused images are the null-space of ce...
Paolo Favaro, Stefano Soatto
75
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IPMI
2003
Springer
15 years 10 months ago
Evaluation of 3D Correspondence Methods for Model Building
Abstract. The correspondence problem is of high relevance in the construction and use of statistical models. Statistical models are used for a variety of medical application, e.g. ...
Martin Styner, Kumar T. Rajamani, Lutz-Peter Nolte...
SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
14 years 11 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Levent Ertöz, Michael Steinbach, Vipin Kumar
JVCA
2010
75views more  JVCA 2010»
14 years 8 months ago
Image-based detail reconstruction of non-Lambertian surfaces
This paper presents a novel optimization framework for estimating the static or dynamic surfaces with details. The proposed method uses dense depths from a structuredlight system ...
I-Chen Lin, Wen-Hsing Chang, Yung-Sheng Lo, Jen-Yu...
CGF
2008
127views more  CGF 2008»
14 years 9 months ago
Fitting Sharp Features with Loop Subdivision Surfaces
Various methods have been proposed for fitting subdivision surfaces to different forms of shape data (e.g., dense meshes or point clouds), but none of these methods effectively de...
Ruotian Ling, Wenping Wang, Dong-Ming Yan