DEFECT REMOVAL FROM MANUFACTURED OBJECTS HAVING MORPHED SURFACES

    公开(公告)号:US20230289596A1

    公开(公告)日:2023-09-14

    申请号:US18141262

    申请日:2023-04-28

    Applicant: Autodesk, Inc.

    CPC classification number: G06N3/08 G06F30/20 G05B19/4097 G05B2219/35134

    Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided repair of physical structures include: generating a two dimensional difference image from a first three dimensional model of at least one actual three dimensional surface of a manufactured object, and a second three dimensional model of at least one source three dimensional surface used as input to a manufacturing process that generated the manufactured object; obtaining from an image-to-image translation based machine learning algorithm, trained using pairs of input images representing deformed and deformed plus surface defected added versions of a nominal three dimensional surface, a translated version of the two dimensional image; generating from the translated version of the two dimensional image a third three dimensional model of at least one morphed three dimensional surface corresponding to the at least one source three dimensional surface. Further, defects can be removed based on the third three dimensional model.

    DEFECT REMOVAL FROM MANUFACTURED OBJECTS HAVING MORPHED SURFACES

    公开(公告)号:US20210034961A1

    公开(公告)日:2021-02-04

    申请号:US16524912

    申请日:2019-07-29

    Applicant: Autodesk, Inc.

    Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided repair of physical structures include: generating a two dimensional difference image from a first three dimensional model of at least one actual three dimensional surface of a manufactured object, and a second three dimensional model of at least one source three dimensional surface used as input to a manufacturing process that generated the manufactured object; obtaining from an image-to-image translation based machine learning algorithm, trained using pairs of input images representing deformed and deformed plus surface defected added versions of a nominal three dimensional surface, a translated version of the two dimensional image; generating from the translated version of the two dimensional image a third three dimensional model of at least one morphed three dimensional surface corresponding to the at least one source three dimensional surface. Further, defects can be removed based on the third three dimensional model.

    Defect removal from manufactured objects having morphed surfaces

    公开(公告)号:US11676007B2

    公开(公告)日:2023-06-13

    申请号:US16524912

    申请日:2019-07-29

    Applicant: Autodesk, Inc.

    CPC classification number: G06N3/08 G05B19/4097 G06F30/20 G05B2219/35134

    Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for computer aided repair of physical structures include: generating a two dimensional difference image from a first three dimensional model of at least one actual three dimensional surface of a manufactured object, and a second three dimensional model of at least one source three dimensional surface used as input to a manufacturing process that generated the manufactured object; obtaining from an image-to-image translation based machine learning algorithm, trained using pairs of input images representing deformed and deformed plus surface defected added versions of a nominal three dimensional surface, a translated version of the two dimensional image; generating from the translated version of the two dimensional image a third three dimensional model of at least one morphed three dimensional surface corresponding to the at least one source three dimensional surface. Further, defects can be removed based on the third three dimensional model.

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