Automatic generation of 3D drawing objects based on a 2D design input

    公开(公告)号:US10062215B2

    公开(公告)日:2018-08-28

    申请号:US15014386

    申请日:2016-02-03

    CPC classification number: G06T19/20 G06T11/001 G06T17/00 G06T2219/2021

    Abstract: Methods and systems are directed to improving the convenience of drawing applications. Some examples include generating 3D drawing objects using a drawing application and selecting one based on a 2D design (in some cases a hand-drawn sketch) provided by a user. The user provided 2D design is separated into an outline perimeter and interior design, and corresponding vectors are then generated. These vectors are then used with analogous vectors generated for drawing objects. The selection of a drawing object to correspond to the 2D design is based on finding a drawing object having a minimum difference between its vectors and the vectors of the 2D design. The selected drawing object is then used to generate a drawing object configured to receive edits from the user. This reduces the inconvenience required to manually reproduce the 2D design in the drawing application.

    Dynamic Path Modification and Extension
    2.
    发明申请

    公开(公告)号:US20170249761A1

    公开(公告)日:2017-08-31

    申请号:US15055118

    申请日:2016-02-26

    Abstract: A digital medium environment is described to dynamically modify or extend an existing path in a user interface. An un-parameterized input is received that is originated by user interaction with a user interface to specify a path to be drawn. A parameterized path is fit as a mathematical ordering representation of the path to be drawn as specified by the un-parametrized input. A determination is made as to whether the parameterized path is to extend or modify the existing path in the user interface. The existing path is modified or extended in the user interface using the parameterized path in response to the determining that the parameterized path is to modify or extend the existing path.

    SEMANTIC PAGE SEGMENTATION OF VECTOR GRAPHICS DOCUMENTS

    公开(公告)号:US20190026550A1

    公开(公告)日:2019-01-24

    申请号:US15656269

    申请日:2017-07-21

    Abstract: Disclosed systems and methods categorize text regions of an electronic document into document object types based on a combination of semantic information and appearance information from the electronic document. A page segmentation application executing on a computing device accesses textual feature representations that represent text portions in a vector space, where a set of pixels from the page is mapped to a textual feature representation. The page segmentation application generates a visual feature representation, which corresponds to an appearance of a document portion including the set of pixels, by applying a neural network to the page of the electronic document. The page segmentation application generates an output page segmentation of the electronic document by applying the neural network to the textual feature representation and the visual feature representation.

    Drawing Curves in Space Guided by 3-D Objects

    公开(公告)号:US20180300912A1

    公开(公告)日:2018-10-18

    申请号:US15485980

    申请日:2017-04-12

    Abstract: Various embodiments enable curves to be drawn around 3-D objects by intelligently determining or inferring how the curve flows in the space around the outside of the 3-D object. The various embodiments enable such curves to be drawn without having to constantly rotate the 3-D object. In at least some embodiments, curve flow is inferred by employing a vertex position discovery process, a path discovery process, and a final curve construction process.

    Three Dimensional Facial Expression Generation

    公开(公告)号:US20170256098A1

    公开(公告)日:2017-09-07

    申请号:US15059067

    申请日:2016-03-02

    Abstract: A digital medium environment is described to generate a three dimensional facial expression from a blend shape and a facial expression source. A semantic type is detected that defines a facial expression of the blend shape. Transfer intensities are assigned based on the detected semantic type to the blend shape and the facial expression source, respectively, for individual portions of the three dimensional facial expression, the transfer intensities specifying weights given to the blend shape and the facial expression source, respectively, for the individual portions of the three dimensional facial expression. The three dimensional facial expression is generated from the blend shape and the facial expression source based on the assigned transfer intensities.

    AUTOMATIC GENERATION 3D DRAWING OBJECTS BASED ON A 2D DESIGN INPUT

    公开(公告)号:US20170221257A1

    公开(公告)日:2017-08-03

    申请号:US15014386

    申请日:2016-02-03

    CPC classification number: G06T19/20 G06T11/001 G06T17/00 G06T2219/2021

    Abstract: Methods and systems are directed to improving the convenience of drawing applications. Some examples include generating 3D drawing objects using a drawing application and selecting one based on a 2D design (in some cases a hand-drawn sketch) provided by a user. The user provided 2D design is separated into an outline perimeter and interior design, and corresponding vectors are then generated. These vectors are then used with analogous vectors generated for drawing objects. The selection of a drawing object to correspond to the 2D design is based on finding a drawing object having a minimum difference between its vectors and the vectors of the 2D design. The selected drawing object is then used to generate a drawing object configured to receive edits from the user. This reduces the inconvenience required to manually reproduce the 2D design in the drawing application.

    VISUAL ODOMETRY USING OBJECT PRIORS
    8.
    发明申请

    公开(公告)号:US20180232906A1

    公开(公告)日:2018-08-16

    申请号:US15430659

    申请日:2017-02-13

    Abstract: Disclosed are techniques for more accurately estimating the pose of a camera used to capture a three-dimensional scene. Accuracy is enhanced by leveraging three-dimensional object priors extracted from a large-scale three-dimensional shape database. This allows existing feature matching techniques to be augmented by generic three-dimensional object priors, thereby providing robust information about object orientations across multiple images or frames. More specifically, the three-dimensional object priors provide a unit that is easier and more reliably tracked between images than a single feature point. By adding object pose estimates across images, drift is reduced and the resulting visual odometry techniques are more robust and accurate. This eliminates the need for three-dimensional object templates that are specifically generated for the imaged object, training data obtained for a specific environment, and other tedious preprocessing steps. Entire object classes identified in a three-dimensional shape database can be used to train an object detector.

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