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» 3D-modeling by ortho-image generation from image sequences
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DGCI
2000
Springer
15 years 10 months ago
Deformable Modeling for Characterizing Biomedical Shape Changes
Abstract. We present a new algorithm for modeling and characterizing shape changes in 3D image sequences of biomedical structures. Our algorithm tracks the shape changes of the obj...
Matthieu Ferrant, Benoit M. Macq, Arya Nabavi, Sim...
DIAL
2004
IEEE
164views Image Analysis» more  DIAL 2004»
15 years 9 months ago
A Dynamic Feature Generation System for Automated Metadata Extraction in Preservation of Digital Materials
Obsolescence in storage media and the hardware and software for access and use can render old electronic files inaccessible and unusable. Therefore, the long-term preservation of ...
Song Mao, Jongwoo Kim, George R. Thoma
IEAAIE
2005
Springer
15 years 11 months ago
Movement Prediction from Real-World Images Using a Liquid State Machine
Prediction is an important task in robot motor control where it is used to gain feedback for a controller. With such a self-generated feedback, which is available before sensor rea...
Harald Burgsteiner, Mark Kröll, Alexander Leo...
ICPR
2008
IEEE
16 years 7 months ago
Automatic generation of HMM topology for sign language recognition
Sign language is used for communicating to people with hearing difficulties. Recogntion of a sign language image sequence is challenging because of the variety of hand shapes and ...
Tadashi Matsuo, Yoshiaki Shirai, Nobutaka Shimada
RECOMB
2010
Springer
15 years 8 months ago
naiveBayesCall: An Efficient Model-Based Base-Calling Algorithm for High-Throughput Sequencing
Immense amounts of raw instrument data (i.e., images of fluorescence) are currently being generated using ultra high-throughput sequencing platforms. An important computational cha...
Wei-Chun Kao, Yun S. Song