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» Modeling non-gaussian noise for robust image analysis
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ICPR
2010
IEEE
13 years 12 months ago
Learning an Efficient and Robust Graph Matching Procedure for Specific Object Recognition
We present a fast and robust graph matching approach for 2D specific object recognition in images. From a small number of training images, a model graph of the object to learn is a...
Jerome Revaud, Guillaume Lavoue, Yasuo Ariki, Atil...
ICIP
2006
IEEE
14 years 9 months ago
Robust Bundle Adjustment for Structure from Motion
Structure from motion (SFM) is the problem of reconstructing the geometry of a scene from a stream of images. In this problem, the geometry of the scene must be inferred from imag...
Ji Zhang, Mireille Boutin, Daniel G. Aliaga
ICIP
2007
IEEE
13 years 7 months ago
Robust Multi-Modal Group Action Recognition in Meetings from Disturbed Videos with the Asynchronous Hidden Markov Model
The Asynchronous Hidden Markov Model (AHMM) models the joint likelihood of two observation sequences, even if the streams are not synchronised. We explain this concept and how the...
Marc Al-Hames, Claus Lenz, Stephan Reiter, Joachim...
ICPR
2010
IEEE
13 years 5 months ago
Robust Foreground Object Segmentation via Adaptive Region-Based Background Modelling
We propose a region-based foreground object segmentation method capable of dealing with image sequences containing noise, illumination variations and dynamic backgrounds (as often...
Vikas Reddy, Conrad Sanderson, Brian C. Lovell
SMI
2008
IEEE
203views Image Analysis» more  SMI 2008»
14 years 2 months ago
SHREC'08 entry: Shape based face recognition with a Morphable Model
We present a method for face recognition by fitting a 3D Morphable Model to shape data. Fitting is done with a a robust nonrigid ICP algorithm. For recognition, it is possible to...
Brian Amberg, Reinhard Knothe, Thomas Vetter