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- W2388060509 abstract "Stereo vision plays a very important role in environment perception of the autonomous exploration robot,by which the dense reconstruction result of the 3D scene can be derived.In this paper,the candidate matching algorithm combined with graph cut theory is proposed to solve the stereo correspondence problem.First,the mesh grid representing depth is constructed in the world coordinate system.Second,most of the candidates can be pruned according to an area matching algorithm,and the remaining nodes are used to form a graph.Finally,the global energy minimization could be achieved by finding minimum cut in the graph,and the 3D scene reconstruction would be fulfilled.The experimental result shows that a tradeoff between performance and efficiency could be achieved when threshold γ was set to 0.6.The problem of matching ambiguity is solved by using the graph cut algorithm,and a better performance can be achieved in coarse texture region." @default.
- W2388060509 created "2016-06-24" @default.
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- W2388060509 date "2011-01-01" @default.
- W2388060509 modified "2023-09-23" @default.
- W2388060509 title "A 3D Scene Graph Cut-Based Dense Reconstruction Algorithm" @default.
- W2388060509 hasPublicationYear "2011" @default.
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