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• W1552140762 abstract "In this paper we propose an algorithm to detect a 2D target model in cluttered environments and to find its scale s, translation (tx, ty) and orientation θ. The algorithm first extracts straight line segments from the image. Next, generating transformation vectors (s, tx, ty, θ), the algorithm computes the fitness values for these vectors through matching between data line segments extracted from the image and model line segments transformed by (s, tx, ty, θ). And, by a generic algorithm, the algorithm searches for a transformation vector with the highest fitness value. The obtained transformation vector gives the scale, translation and orientation of the model in the image." @default.
• W1552140762 created "2016-06-24" @default.
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• W1552140762 date "2003-01-20" @default.
• W1552140762 modified "2023-09-27" @default.
• W1552140762 title "Detection of target models in 2D images by line-based matching and a genetic algorithm" @default.
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• W1552140762 doi "https://doi.org/10.1109/icip.1999.822988" @default.
• W1552140762 hasPublicationYear "2003" @default.
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