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- W116910900 abstract "In this paper, we propose a novel algorithm for general 2D image matching, which is known to be an NP-complete optimization problem. With our algorithm, the complexity is handled by sequentially optimizing the image columns from left to right in a two-level dynamic programming procedure. On a local level, a set of hypotheses is computed for each column, while on a global level the best sequence of these hypotheses is selected. The optimization on the local level is guided by a lookahead that gives an estimate about the not yet optimized part of the image. We evaluate the algorithm on the task of pose-invariant face recognition in an automatic setup and show that the suggested method is competitive and achieves very good recognition accuracies on the popular face recognition databases CMU-PIE and CMU-MultiPIE." @default.
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- W116910900 date "2013-01-01" @default.
- W116910900 modified "2023-09-25" @default.
- W116910900 title "Pose-Invariant Face Recognition with a Two-Level Dynamic Programming Algorithm" @default.
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- W116910900 doi "https://doi.org/10.1007/978-3-642-38628-2_2" @default.
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