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» Modeling non-gaussian noise for robust image analysis
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FGR
2000
IEEE
193views Biometrics» more  FGR 2000»
13 years 12 months ago
Robust 3D Head Tracking Under Partial Occlusion
This paper describes a novel system for 3D head tracking under partial occlusion from 2D monocular image sequences. In this system, The Extended Superquadric (ESQ) is used to gene...
Ye Zhang, Chandra Kambhamettu
ECCV
2004
Springer
14 years 9 months ago
A Robust Probabilistic Estimation Framework for Parametric Image Models
Models of spatial variation in images are central to a large number of low-level computer vision problems including segmentation, registration, and 3D structure detection. Often, i...
Maneesh Kumar Singh, Himanshu Arora, Narendra Ahuj...
ICIP
2004
IEEE
14 years 9 months ago
Performance analysis of an improved tensor based correspondence algorithm for automatic 3d modeling
3D modeling of a free-form object involves the acquisition of multiple views (range images) of the object to cover its entire surface. These views are then registered in a common ...
Ajmal S. Mian, Mohammed Bennamoun, Robyn A. Owens
ICASSP
2011
IEEE
12 years 11 months ago
Factor analysis based VTS and JUD noise estimation and compensation
Model based compensation schemes are a powerful approach for noise robust speech recognition. Recently there have been a number of investigations into adaptive training, and estim...
Federico Flego, Mark John Francis Gales
IJIT
2004
13 years 9 months ago
On the Noise Distance in Robust Fuzzy C-Means
In the last decades, a number of robust fuzzy clustering algorithms have been proposed to partition data sets affected by noise and outliers. Robust fuzzy C-means (robust-FCM) is c...
Mario G. C. A. Cimino, Graziano Frosini, Beatrice ...