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ICMI
2004
Springer
141views Biometrics» more  ICMI 2004»
13 years 10 months ago
Context based multimodal fusion
We present a generic approach to multimodal fusion which we call context based multimodal integration. Key to this approach is that every multimodal input event is interpreted and...
Norbert Pfleger
ICASSP
2008
IEEE
13 years 11 months ago
Multimodal information fusion using the iterative decoding algorithm and its application to audio-visual speech recognition
The fusion of information from heterogenous sensors is crucial to the effectiveness of a multimodal system. Noise affect the sensors of different modalities independently. A good ...
Shankar T. Shivappa, Bhaskar D. Rao, Mohan M. Triv...
VMV
2008
168views Visualization» more  VMV 2008»
13 years 6 months ago
Integrating robust likelihoods with Monte-Carlo filters for multi-target tracking
In this paper, a dynamic multi-modal fusion scheme for tracking multiple targets with Monte-Carlo filters is presented, with the goal of achieving robustness by combining complime...
Giorgio Panin, Thorsten Röder, Alois Knoll
CVIU
2010
198views more  CVIU 2010»
13 years 4 months ago
Non-Gaussian model-based fusion of noisy images in the wavelet domain
This paper describes a new methodology for multimodal image fusion based on non-Gaussian statistical modelling of wavelet coefficients. Special emphasis is placed on the fusion of...
Artur Loza, David R. Bull, Nishan Canagarajah, Ali...
ISMAR
2006
IEEE
13 years 10 months ago
"Move the couch where?" : developing an augmented reality multimodal interface
This paper describes an augmented reality (AR) multimodal interface that uses speech and paddle gestures for interaction. The application allows users to intuitively arrange virtu...
Sylvia Irawati, Scott Green, Mark Billinghurst, An...