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» Objective Functions for Feature Discrimination
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108
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VIIP
2001
15 years 1 months ago
Feature Silhouette Extraction from Photographs for Virtual Human Modeling
In this paper, we present an easy, efficient and practical algorithm, which extracts the feature silhouette from a photograph for virtual human modeling. Our segmentation algorith...
Yu Wang 0010, Charlie C. L. Wang, Matthew Ming-Fai...
107
Voted
SIAMIS
2010
116views more  SIAMIS 2010»
14 years 11 months ago
Higher-Order Feature-Preserving Geometric Regularization
We introduce two fourth-order regularization methods that remove geometric noise without destroying significant geometric features. These methods leverage ideas from image denoisi...
Marc Droske, Andrea Bertozzi
VVS
1998
IEEE
115views Visualization» more  VVS 1998»
15 years 4 months ago
Extracting ISO-Valued Features in 4-Dimensional Scalar Fields
Isosurfaces are an important tool for finding features in 3D scalar data. This paper describes how recursive contour meshing is applied to extract similar features in 4-dimensiona...
Chris Weigle, David C. Banks
111
Voted
NECO
2008
134views more  NECO 2008»
15 years 15 days ago
Latent Features in Similarity Judgments: A Nonparametric Bayesian Approach
One of the central problems in cognitive science is determining the mental representations that underlie human inferences. Solutions to this problem often rely on the analysis of ...
Daniel J. Navarro, Thomas L. Griffiths
138
Voted
CVPR
2004
IEEE
16 years 2 months ago
Wide Baseline Feature Matching Using the Cross-Epipolar Ordering Constraint
? Robust feature matching across different views of the same scene taken by two cameras with wide baseline and arbitrary rotation is still an open problem. Matching based on appear...
Xiaoye Lu, Roberto Manduchi