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1.
公开(公告)号:US20180204379A1
公开(公告)日:2018-07-19
申请号:US15743711
申请日:2016-07-15
Applicant: Massachusetts Institute of Technology
Inventor: Carlos Sanchez Mendoza , Luca Giancardo , Tobias Hahn , Aurelien Bourquard
CPC classification number: G06T17/30 , A61F2/5046 , A61F5/02 , G01B21/20 , G01S5/163 , G06F3/011 , G06K9/00214 , G06T9/007 , G06T9/20 , G06T15/04 , G06T17/00 , G06T2200/08 , G06T2207/30004
Abstract: A system and method for reconstructing a positional contour of a variably contoured surface includes a plurality of positional sensors and a plurality of orientation sensor disposed upon the surface, a processor and a memory. The system captures a positional description of the surface and produces a rotationally-invariant point cloud, and captures a first absolute orientation description of the surface and produces a first set of relative orientations. The first rotationally-invariant point cloud is resampled with respect to the orientation description to produce a first synchronized rotationally-invariant point cloud. The first set of relative orientations and the first synchronized rotationally-invariant point cloud are transformed to produce respective sets of dimensional representations and manifold transformer parameters, which are mapped to produce a trained mapping function definition. The system captures a second absolute orientation description of the surface and uses the trained mapping function definition to produce a reconstructed synchronized rotationally-invariant point cloud.
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公开(公告)号:US10699480B2
公开(公告)日:2020-06-30
申请号:US15743711
申请日:2016-07-15
Applicant: Massachusetts Institute of Technology
Inventor: Carlos Sanchez Mendoza , Luca Giancardo , Tobias Hahn , Aurelien Bourquard
IPC: G06T17/30 , G06T17/00 , A61F5/02 , G01B21/20 , G06F3/01 , G06K9/00 , G06T9/00 , G06T9/20 , G06T15/04 , A61F2/50 , G01S5/16
Abstract: A system constructs a positional contour of a variably contoured surface using data from a 3D capture device. A processor captures data from a tangential orientation capture device and produces a set of relative orientations. The set of relative orientations is transformed with a set of orientation manifold transformer parameters to produce a set of low dimensional orientations. The set of low dimensional orientations and a trained mapping function definition are used to produce a low dimensional point cloud. The low dimensional point cloud is transformed with a set of point cloud manifold transformer parameters, producing a reconstructed synchronized rotationally invariant point cloud.
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