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224
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TIP
1998
161views more  TIP 1998»
15 years 3 months ago
Robust anisotropic diffusion
—Relations between anisotropic diffusion and robust statistics are described in this paper. Specifically, we show that anisotropic diffusion can be seen as a robust estimation p...
Michael J. Black, Guillermo Sapiro, David H. Marim...
124
Voted
MICCAI
2004
Springer
16 years 4 months ago
Real-Time Multi-model Tracking of Myocardium in Echocardiography Using Robust Information Fusion
Automatic myocardial wall motion tracking in ultrasound images is an important step in analysis of the heart function. Existing methods for Myocardial Wall Tracking are not robust ...
Bogdan Georgescu, Xiang Sean Zhou, Dorin Comaniciu...
143
Voted
DAGM
2006
Springer
15 years 7 months ago
On-Line, Incremental Learning of a Robust Active Shape Model
Abstract. Active Shape Models are commonly used to recognize and locate different aspects of known rigid objects. However, they require an off-line learning stage, such that the ex...
Michael Fussenegger, Peter M. Roth, Horst Bischof,...
130
Voted
ICPR
2004
IEEE
16 years 4 months ago
Robust Phase Correlation
: This paper presents a robust phase correlation based sub-pixel feature matching technique and its application in motion flow estimation, pixel-to-pixel image-co-registration and ...
Amir Averbuch, Ofer Miller, Yosi Keller
144
Voted
FGR
2006
IEEE
157views Biometrics» more  FGR 2006»
15 years 9 months ago
Evaluating Error Functions for Robust Active Appearance Models
Active appearance models (AAMs) are generative parametric models commonly used to track faces in video sequences. A limitation of AAMs is they are not robust to occlusion. A recen...
Barry-John Theobald, Iain Matthews, Simon Baker