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» Generation of Semantic Regions from Image Sequences
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PAMI
2006
178views more  PAMI 2006»
15 years 6 months ago
Learning Nonlinear Image Manifolds by Global Alignment of Local Linear Models
Appearance-based methods, based on statistical models of the pixel values in an image (region) rather than geometrical object models, are increasingly popular in computer vision. I...
Jakob J. Verbeek
ACCV
2010
Springer
15 years 8 months ago
Ghost-free High Dynamic Range Imaging
Most high dynamic range image (HDRI) algorithms assume stationary scene for registering multiple images which are taken under different exposure settings. In practice, however, the...
Yong Seok Heo (Seoul National University), Kyoung ...
ECCV
2000
Springer
16 years 8 months ago
Regularised Range Flow
Extending a differential total least squares method for range flow estimation we present an iterative regularisation approach to compute dense range flow fields. We demonstrate how...
Bernd Jähne, Hagen Spies, John L. Barron
IROS
2009
IEEE
193views Robotics» more  IROS 2009»
16 years 1 months ago
Active segmentation for robotics
— The semantic robots of the immediate future are robots that will be able to find and recognize objects in any environment. They need the capability of segmenting objects in th...
Ajay K. Mishra, Yiannis Aloimonos, Cornelia Ferm&u...
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