2-D ICP for PCL
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The ICP module in PCL is used specifically for 3-dimensional point clouds, i.e. there can be 3D transformations. Is there a way to implement 2D ICP in PCL, i.e. the z is fixed and transformations must be 2D?
point-cloud-library point-clouds
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The ICP module in PCL is used specifically for 3-dimensional point clouds, i.e. there can be 3D transformations. Is there a way to implement 2D ICP in PCL, i.e. the z is fixed and transformations must be 2D?
point-cloud-library point-clouds
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down vote
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The ICP module in PCL is used specifically for 3-dimensional point clouds, i.e. there can be 3D transformations. Is there a way to implement 2D ICP in PCL, i.e. the z is fixed and transformations must be 2D?
point-cloud-library point-clouds
The ICP module in PCL is used specifically for 3-dimensional point clouds, i.e. there can be 3D transformations. Is there a way to implement 2D ICP in PCL, i.e. the z is fixed and transformations must be 2D?
point-cloud-library point-clouds
point-cloud-library point-clouds
asked Nov 12 at 3:12
stan25
337
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Under registration module, you can find pcl::registration::TransformationEstimation2D<...>
. This class expects the two input point clouds to be aligned vertically and also the correspondences estimated a priori as explained here.
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1 Answer
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1 Answer
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active
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votes
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Under registration module, you can find pcl::registration::TransformationEstimation2D<...>
. This class expects the two input point clouds to be aligned vertically and also the correspondences estimated a priori as explained here.
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Under registration module, you can find pcl::registration::TransformationEstimation2D<...>
. This class expects the two input point clouds to be aligned vertically and also the correspondences estimated a priori as explained here.
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Under registration module, you can find pcl::registration::TransformationEstimation2D<...>
. This class expects the two input point clouds to be aligned vertically and also the correspondences estimated a priori as explained here.
Under registration module, you can find pcl::registration::TransformationEstimation2D<...>
. This class expects the two input point clouds to be aligned vertically and also the correspondences estimated a priori as explained here.
answered Nov 14 at 23:59
ozlsn
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