Invention Grant
US08131069B2 System and method for optimizing single and dynamic markov random fields with primal dual strategies
有权
用原始双重策略优化单个和动态马尔科夫随机场的系统和方法
- Patent Title: System and method for optimizing single and dynamic markov random fields with primal dual strategies
- Patent Title (中): 用原始双重策略优化单个和动态马尔科夫随机场的系统和方法
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Application No.: US12138142Application Date: 2008-06-12
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Publication No.: US08131069B2Publication Date: 2012-03-06
- Inventor: Nikos Komodakis , Nikos Paragios , Georgios Tziritas
- Applicant: Nikos Komodakis , Nikos Paragios , Georgios Tziritas
- Applicant Address: FR Grande Voies des Vignes, Chateney-Malabry, Cedex
- Assignee: Ecole Centrale de Paris
- Current Assignee: Ecole Centrale de Paris
- Current Assignee Address: FR Grande Voies des Vignes, Chateney-Malabry, Cedex
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/62

Abstract:
A method for determining an optimal labeling of pixels in computer vision includes modeling an image by a graph having interior nodes and edges where each image point p is associated with a graph node, each pair of nearest neighbor points p, q is connected by a graph edge, each graph node p is associated with a singleton potential c(p), and each graph edge is associated with a pairwise potential function d(p,q). A label is randomly assigned to each point to initialize unary variables including an indicator function that indicates which label is assigned to which point and dual variables including height variables associated with each node p and label a, and balance variables associated with each edge (p,q) and label a. For each label, a new label c is selected, a capacitated graph is constructed and solved. The label selection divides the image into disjoint regions.
Public/Granted literature
- US20090252416A1 System and Method for Optimizing Single and Dynamic Markov Random Fields with Primal Dual Strategies Public/Granted day:2009-10-08
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