Invention Grant
- Patent Title: Efficient MCMC sampling with implicit shape representations
- Patent Title (中): 具有隐式形状表示的高效MCMC采样
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Application No.: US13448581Application Date: 2012-04-17
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Publication No.: US08744185B2Publication Date: 2014-06-03
- Inventor: Jason Chang , John William Fisher, III
- Applicant: Jason Chang , John William Fisher, III
- Applicant Address: US MA Cambridge
- Assignee: Massachusetts Institute of Technology
- Current Assignee: Massachusetts Institute of Technology
- Current Assignee Address: US MA Cambridge
- Agency: Occhiuti & Rohlicek LLP
- Main IPC: G06K9/34
- IPC: G06K9/34

Abstract:
In an approach for sampling a distribution of segmentations of an image, the segmentations are based on a level set function. For each sample of the distribution, the sampling includes the following, for each of multiple iterations: randomly selecting a set of locations of the level set function, determining a domain of allowed perturbations of the level set function at the selected set of locations, and randomly accepting a perturbation of the level set function according to a criterion corresponding to a biased distribution over the domain of allowed perturbations of the level set function, wherein the bias is selected to increase a probability of accepting the perturbation. The sampling also includes determining the sample of the distribution of segmentations according to a perturbed level set function determined in a final iteration of the multiple iterations for the sample.
Public/Granted literature
- US20120321186A1 EFFICIENT MCMC SAMPLING WITH IMPLICIT SHAPE REPRESENTATIONS Public/Granted day:2012-12-20
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