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» Modeling non-gaussian noise for robust image analysis
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ACCV
2006
Springer
14 years 1 months ago
A Multiscale Co-linearity Statistic Based Approach to Robust Background Modeling
Background subtraction is an essential task in several static camera based computer vision systems. Background modeling is often challenged by spatio-temporal changes occurring due...
Prithwijit Guha, Dibyendu Palai, K. S. Venkatesh, ...
MIAR
2010
IEEE
13 years 6 months ago
Metrics for Uncertainty Analysis and Visualization of Diffusion Tensor Images
In this paper, we propose three metrics to quantify the differences between the results of diffusion tensor magnetic resonance imaging (DT-MRI) fiber tracking algorithms: the area...
Fangxiang Jiao, Jeff M. Phillips, Jeroen G. Stinst...
ICIP
2004
IEEE
14 years 9 months ago
Robust ego-motion estimation and 3d model refinement using depth based parallax model
We present an iterative algorithm for robustly estimating the egomotion and refining and updating a coarse, noisy and partial depth map using a depth based parallax model and brig...
Amit K. Agrawal, Rama Chellappa
ICADL
2004
Springer
162views Education» more  ICADL 2004»
14 years 1 months ago
Character Region Identification from Cover Images Using DTT
A robust character region identification approach is proposed here to deal with cover images using a differential top-hat transformation (DTT). The DTT is derived from morphologica...
Lixu Gu
TSMC
2010
13 years 2 months ago
A Unified Tensor Level Set for Image Segmentation
Abstract--This paper presents a new region-based unified tensor level set model for image segmentation. This model introduces a three-order tensor to comprehensively depict feature...
Bin Wang, Xinbo Gao, Dacheng Tao, Xuelong Li