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CVPR
2005
IEEE
16 years 5 months ago
Interactive Graph Cut Based Segmentation with Shape Priors
Interactive or semi-automatic segmentation is a useful alternative to pure automatic segmentation in many applications. While automatic segmentation can be very challenging, a sma...
Daniel Freedman, Tao Zhang
CVPR
2005
IEEE
16 years 5 months ago
Quantitative Evaluation of a Novel Image Segmentation Algorithm
We present a quantitative evaluation of SE-MinCut, a novel segmentation algorithm based on spectral embedding and minimum cut. We use human segmentations from the Berkeley Segment...
Francisco J. Estrada, Allan D. Jepson
CVPR
2005
IEEE
16 years 5 months ago
Illumination-Invariant Tracking via Graph Cuts
Illumination changes are a ubiquitous problem in computer vision. They present a challenge in many applications, including tracking: for example, an object may move in and out of ...
Daniel Freedman, Matthew W. Turek
CVPR
2005
IEEE
16 years 5 months ago
Identifying Semantically Equivalent Object Fragments
We describe a novel technique for identifying semantically equivalent parts in images belonging to the same object class, (e.g. eyes, license plates, aircraft wings etc.). The vis...
Boris Epshtein, Shimon Ullman
CVPR
2005
IEEE
16 years 5 months ago
Energy Minimization via Graph Cuts: Settling What is Possible
The recent explosion of interest in graph cut methods in computer vision naturally spawns the question: what energy functions can be minimized via graph cuts? This question was fi...
Daniel Freedman, Petros Drineas