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» Robust RVM regression using sparse outlier model
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DATAMINE
2006
127views more  DATAMINE 2006»
14 years 9 months ago
Computing LTS Regression for Large Data Sets
Least trimmed squares (LTS) regression is based on the subset of h cases (out of n) whose least squares t possesses the smallest sum of squared residuals. The coverage h may be se...
Peter Rousseeuw, Katrien van Driessen
CVPR
2007
IEEE
15 years 11 months ago
Accurate, Dense, and Robust Multi-View Stereopsis
: This paper proposes a novel algorithm for calibrated multi-view stereopsis that outputs a (quasi) dense set of rectangular patches covering the surfaces visible in the input imag...
Yasutaka Furukawa, Jean Ponce
JMLR
2008
151views more  JMLR 2008»
14 years 9 months ago
Learning to Combine Motor Primitives Via Greedy Additive Regression
The computational complexities arising in motor control can be ameliorated through the use of a library of motor synergies. We present a new model, referred to as the Greedy Addit...
Manu Chhabra, Robert A. Jacobs
151
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3DPVT
2006
IEEE
295views Visualization» more  3DPVT 2006»
14 years 11 months ago
Efficient Sparse 3D Reconstruction by Space Sweeping
This paper introduces a feature based method for the fast generation of sparse 3D point clouds from multiple images with known pose. We extract sub-pixel edge elements (2D positio...
Joachim Bauer, Christopher Zach, Horst Bischof
AMFG
2007
IEEE
327views Biometrics» more  AMFG 2007»
15 years 3 months ago
Model-Assisted 3D Face Reconstruction from Video
Abstract. This paper describes a model-assisted system for reconstruction of 3D faces from a single consumer quality camera using a structure from motion approach. Typical multi-vi...
Douglas Fidaleo, Gérard G. Medioni