Generalized Fusion Moves for Continuous Label Optimization.
Computer Vision and Image Understanding(2018)
摘要
•Generalized fusion moves allow more powerful move-making steps for optimization.•Builds on a convex relaxation framework for piecewise convex minimization problems.•Applies to dense correspondence problems with additional latent variables such as illumination changes between images.
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关键词
Energy minimization,Markov random fields,Convex relaxations,Low-level vision
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