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» A Novel Framework for Imaging Using Compressed Sensing
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ICCV
2011
IEEE
12 years 9 months ago
Blurring-Invariant Riemannian Metrics for Comparing Signals and Images
We propose a novel Riemannian framework for comparing signals and images in a manner that is invariant to their levels of blur. This framework uses a log-Fourier representation of...
Zhengwu Zhang, Eric Klassen, Anuj Srivastava, Pava...
AAAI
2000
13 years 10 months ago
Memory-Based Forecasting for Weather Image Patterns
A novel method and a framework called Memory-Based Forecasting are proposed to forecast complex and timevarying natural patterns with the goal of supporting experts' decision...
Kazuhiro Otsuka, Tsutomu Horikoshi, Satoshi Suzuki...
PAMI
2008
166views more  PAMI 2008»
13 years 8 months ago
Robust Real-Time Pattern Matching Using Bayesian Sequential Hypothesis Testing
This paper describes a method for robust real time pattern matching. We first introduce a family of image distance measures, the "Image Hamming Distance Family". Members ...
Ofir Pele, Michael Werman
MICCAI
2007
Springer
14 years 3 months ago
A Probabilistic Framework for Tracking Deformable Soft Tissue in Minimally Invasive Surgery
The use of vision based algorithms in minimally invasive surgery has attracted significant attention in recent years due to its potential in providing in situ 3D tissue deformation...
Peter Mountney, Benny P. L. Lo, Surapa Thiemjarus,...
IPMI
2009
Springer
14 years 3 months ago
A Framework for Brain Registration via Simultaneous Surface and Volume Flow
Abstract. Volumetric registration of brain MR images presents a challenging problem due to the wide variety of sulcal folding patterns. We present a novel volumetric registration m...
Anand A. Joshi, Richard M. Leahy, Arthur W. Toga, ...