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» Needle Map Recovery using Robust Regularizers
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BMVC
1997
13 years 6 months ago
Needle Map Recovery using Robust Regularizers
This article describes how robust error-kernels can be used as smoothness priors in recovering shape-from-shading (SFS). Conventionally, the smoothness error is added to the data-...
Philip L. Worthington, Edwin R. Hancock
ISVC
2009
Springer
13 years 12 months ago
A Novel Method for Enhanced Needle Localization Using Ultrasound-Guidance
Abstract. In this paper, we propose a novel and fast method to localize and track needles during image-guided interventions. Our proposed method is comprised of framework of needle...
Bin Dong, Eric Savitsky, Stanley Osher
ICMCS
1999
IEEE
165views Multimedia» more  ICMCS 1999»
13 years 9 months ago
Template Based Recovery of Fourier-Based Watermarks Using Log-Polar and Log-Log Maps
Digital watermarks have been proposed as a method for discouraging illicit copying and distribution of copyrighted material. This paper describes a method for the secure and robus...
Shelby Pereira, Joseph Ó Ruanaidh, Fr&eacut...
ICASSP
2010
IEEE
13 years 5 months ago
Algorithms for robust linear regression by exploiting the connection to sparse signal recovery
In this paper, we develop algorithms for robust linear regression by leveraging the connection between the problems of robust regression and sparse signal recovery. We explicitly ...
Yuzhe Jin, Bhaskar D. Rao
CVPR
2012
IEEE
11 years 7 months ago
Consistent depth maps recovery from a trinocular video sequence
In this paper, we propose a novel dense depth recovery method for a trinocular video sequence. Specifically, we contribute a novel trinocular stereo matching model, which can eff...
Wenzhuo Yang, Guofeng Zhang, Hujun Bao, Jiwon Kim,...