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» A Gesture Recognition System Using 3D Data
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TFS
2008
174views more  TFS 2008»
15 years 3 months ago
Type-2 Fuzzy Markov Random Fields and Their Application to Handwritten Chinese Character Recognition
In this paper, we integrate type-2 (T2) fuzzy sets with Markov random fields (MRFs) referred to as T2 FMRFs, which may handle both fuzziness and randomness in the structural patter...
Jia Zeng, Zhi-Qiang Liu
VRML
2006
ACM
15 years 10 months ago
Using expressive rendering for remote visualization of large city models
In this paper, we present a new approach for remote visualization of large 3D cities. Our approach is based on expressive rendering (also known as Non-Photorealistic Rendering), a...
Jean-Charles Quillet, Gwenola Thomas, Xavier Grani...
ICCV
1995
IEEE
15 years 7 months ago
Recognition Using Region Correspondences
Recognition systems attempt to recover information about the identity of observed objects and their location in the environment. A fundamental problem in recognition is pose estima...
Ronen Basri, David W. Jacobs
NAACL
2007
15 years 5 months ago
Virtual Evidence for Training Speech Recognizers Using Partially Labeled Data
Collecting supervised training data for automatic speech recognition (ASR) systems is both time consuming and expensive. In this paper we use the notion of virtual evidence in a g...
Amarnag Subramanya, Jeff A. Bilmes
AMDO
2008
Springer
15 years 6 months ago
Predicting Missing Markers to Drive Real-Time Centre of Rotation Estimation
This paper addresses the problem of real-time location of the joints or centres of rotation (CoR) of human skeletons in the presence of missing data. The data is assumed to be 3d m...
Andreas Aristidou, Jonathan Cameron, Joan Lasenby