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SIAMSC
2008
237views more  SIAMSC 2008»
15 years 1 months ago
A Variational Shape Optimization Approach for Image Segmentation with a Mumford--Shah Functional
We introduce a novel computational method for a Mumford-Shah functional, which decomposes a given image into smooth regions separated by closed curves. Casting this as a shape opti...
Günay Dogan, Pedro Morin, Ricardo H. Nochetto
ICCV
2003
IEEE
16 years 3 months ago
Tracking Objects Using Density Matching and Shape Priors
We present a novel method for tracking objects by combining density matching with shape priors. Density matching is a tracking method which operates by maximizing the Bhattacharyy...
Tao Zhang, Daniel Freedman
CVPR
2011
IEEE
14 years 10 months ago
Shape Grammar Parsing via Reinforcement Learning
This paper tackles shape grammar parsing for facade segmentation using a novel optimization approach based on reinforcement learning (RL). To this end, we use a binary recursive g...
Olivier Teboul, Iasonas Kokkinos, Panagiotis Kouts...
98
Voted
ECCV
2002
Springer
16 years 3 months ago
A Variational Approach to Shape from Defocus
We address the problem of estimating the three-dimensional shape and radiance of a surface in space from images obtained with different focal settings. We pose the problem as an in...
Hailin Jin, Paolo Favaro
108
Voted
ICCV
1998
IEEE
16 years 3 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