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» Application of Level Set Methods in Computer Vision
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FTCGV
2011
122views more  FTCGV 2011»
12 years 11 months ago
Structured Learning and Prediction in Computer Vision
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structur...
Sebastian Nowozin, Christoph H. Lampert
ICDAR
2007
IEEE
14 years 1 months ago
Energy-Based Models in Document Recognition and Computer Vision
The Machine Learning and Pattern Recognition communities are facing two challenges: solving the normalization problem, and solving the deep learning problem. The normalization pro...
Yann LeCun, Sumit Chopra, Marc'Aurelio Ranzato, Fu...
ECCV
2008
Springer
14 years 9 months ago
Higher Dimensional Affine Registration and Vision Applications
Abstract. Affine registration has a long and venerable history in computer vision literature, and extensive work have been done for affine registrations in IR2 and IR3 . In this pa...
Yu-Tseh Chi, S. M. Nejhum Shahed, Jeffrey Ho, Ming...
IROS
2009
IEEE
148views Robotics» more  IROS 2009»
14 years 2 months ago
A computer vision integration model for a multi-modal cognitive system
— We present a general method for integrating visual components into a multi-modal cognitive system. The integration is very generic and can work with an arbitrary set of modalit...
Alen Vrecko, Danijel Skocaj, Nick Hawes, Ales Leon...
ICCV
1998
IEEE
14 years 9 months ago
A Real-Time Algorithm for Medical Shape Recovery
In this paper, we present a shape recovery technique in 2 0 and 3 0 with specific applications in visualizing and measuring anatomical shapes from medical images. This algorithm m...
Ravi Malladi, James A. Sethian