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» Application of Level Set Methods in Computer Vision
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FTCGV
2011
122views more  FTCGV 2011»
14 years 5 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
127
Voted
ICDAR
2007
IEEE
15 years 8 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...
114
Voted
ECCV
2008
Springer
16 years 4 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»
15 years 9 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
16 years 4 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