IDT Vs L2 Distance for Point Set Registration
نویسندگان
چکیده
Registration techniques have many applications such as 3D scans alignment, panoramic image mosaic creation or shape matching. This paper focuses on (2D) point cloud registration using novel iterative algorithms that are inspired by the Iterative Distribution Transfer (IDT) algorithm originally proposed to solve colour transfer [Pitié et al., 2005, Pitié et al., 2007]. We propose three variants to IDT algorithm that we compare with the standard L2 shape registration technique [Jian and Vemuri, 2011]. We show that our IDT algorithms perform well against L2 for finding correspondences between model and target shapes.
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