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- W3010024234 abstract "In the most of the exist methods dot-grid alignment problem has been addressed using rule-based approach, but it is time-consuming and requires lots of engineer's efforts to manually define each rules. Moreover, the engineer may suffer to modify the algorithm when a new distortion pattern is observed. In this paper, We propose CNN-based dot-grid alignment method to address the limitation of the rule-based approaches. For this purpose, we formulate the dot-grid alignment task in terms of image restoration problem, and present suitable model structure and training strategy. The experiment results confirm the feasibility of the proposed method." @default.
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- W3010024234 date "2020-01-01" @default.
- W3010024234 modified "2023-09-25" @default.
- W3010024234 title "Learning-based Dot-Grid Alignment for Projection Distortion Correction" @default.
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- W3010024234 doi "https://doi.org/10.1109/icoin48656.2020.9016496" @default.
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