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» Recognition of Parametrised Models from 3D Data
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INFOVIS
2002
IEEE
15 years 11 months ago
Process Visualization with Levels of Detail
In this paper we demonstrate how we applied information visualization techniques to process monitoring. Virtual instruments are enhanced using history encoding – instruments are...
Kresimir Matkovic, Helwig Hauser, Reinhard Sainitz...
MMSP
2008
IEEE
216views Multimedia» more  MMSP 2008»
16 years 29 days ago
Using stochastic gradient-descent scheme in appearance model based face tracking
— Active appearance model (AAM) has been widely used in face tracking and recognition. However, accuracy and efficiency are always two main challenges with the AAM search. The pa...
Zhidong Li, Jing Chen, Adrian Chong, Zhenghua Yu, ...
ISMB
1996
15 years 8 months ago
Gene Recognition in Cyanobacterium Genomic Sequence Data Using the Hidden Markov Model
We have developed a hidden Markov model (HMM)to detect the protein coding regions within one megabase contiguous sequence data, registered in a database called GenBankin eight ent...
Tetsushi Yada, Makoto Hirosawa
IVC
2006
180views more  IVC 2006»
15 years 6 months ago
Active appearance models with occlusion
Active Appearance Models (AAMs) are generative parametric models that have been successfully used in the past to track faces in video. A variety of video applications are possible...
Ralph Gross, Iain Matthews, Simon Baker
3DIM
2007
IEEE
16 years 28 days ago
Range Image Segmentation for Modeling and Object Detection in Urban Scenes
We present fast and accurate segmentation algorithms of range images of urban scenes. The utilization of these algorithms is essential as a pre-processing step for a variety of ta...
Cecilia Chao Chen, Ioannis Stamos