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» Discrete optimization in computer vision
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142
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ECCV
2008
Springer
15 years 5 months ago
Reformulating and Optimizing the Mumford-Shah Functional on a Graph - A Faster, Lower Energy Solution
Active contour formulations predominate current minimization of the Mumford-Shah functional (MSF) for image segmentation and filtering. Unfortunately, these formulations necessitat...
Leo Grady, Christopher V. Alvino
CVPR
2001
IEEE
16 years 5 months ago
Optimal Adaptive Learning for Image Retrieval
Learning-enhanced relevance feedback is one of the most promising and active research directions in recent year's content-based image retrieval. However, the existing approac...
Tao Wang, Yong Rui, Shi-Min Hu
116
Voted
ICCV
2009
IEEE
16 years 8 months ago
Optimizing Parametric Total Variation Models
One of the key factors for the success of recent energy minimization methods is that they seek to compute global solutions. Even for non-convex energy functionals, optimization ...
Petter Strandmark, Fredrik Kahl, Niels Chr. Overga...
CVPR
2006
IEEE
16 years 5 months ago
An Integrated Model of Top-Down and Bottom-Up Attention for Optimizing Detection Speed
Integration of goal-driven, top-down attention and image-driven, bottom-up attention is crucial for visual search. Yet, previous research has mostly focused on models that are pur...
Vidhya Navalpakkam, Laurent Itti
WACV
2002
IEEE
15 years 8 months ago
Optimal motion estimation from visual and inertial measurements
Cameras and inertial sensors are good candidates to be deployed together for autonomous vehicle motion estimation, since each can be used to resolve the ambiguities in the estimat...
Dennis Strelow, Sanjiv Singh