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    3D Printing with Small Geometric Offsets to Affect Surface Characteristics
    31.
    发明申请
    3D Printing with Small Geometric Offsets to Affect Surface Characteristics 审中-公开
    使用小几何偏移进行3D打印以影响表面特性

    公开(公告)号：US20170043532A1

    公开(公告)日：2017-02-16

    申请号：US15334527

    申请日：2016-10-26

    Applicant: Adobe Systems Incorporated

    Inventor： Nathan A. Carr ,  Tim Christopher Reiner ,  Gavin Stuart Peter Miller ,  Radomir Mech

    IPC: B29C67/00 ,  B33Y30/00 ,  B33Y50/02 ,  B33Y10/00

    CPC classification number: B29C67/0055 ,  B29C64/106 ,  B29C64/112 ,  B29C64/20 ,  B29C64/386 ,  B29K2105/0058 ,  B33Y10/00 ,  B33Y30/00 ,  B33Y50/02

    Abstract: This document describes techniques and apparatuses for 3D printing with small geometric offsets to affect surface characteristics. These techniques are capable of enabling fused-deposition printers to create 3D objects having desired surface characteristics, such as particular colors, images and image resolutions, textures, and luminosities. In some cases, the techniques do so using a single filament head with a single filament material. In some other cases, the techniques do so using multiple heads each with different filaments, though the techniques can forgo many switches between these heads. Each printing layer may use even a single filament from one head, thereby enabling surface characteristics while reducing starts and stops for filaments heads, which enables fewer artifacts or increases printing speed.

    Abstract translation: 本文档描述了具有小几何偏移的3D打印以影响表面特性的技术和装置。 这些技术能够使熔融沉积打印机能够创建具有期望的表面特性（例如特定颜色，图像和图像分辨率，纹理和光度）的3D物体。 在某些情况下，这些技术使用具有单丝材料的单丝头。 在其他一些情况下，这些技术使用多个具有不同长丝的头，但这些技术可以在这些头之间放弃许多开关。 每个印刷层可以使用来自一个头部的单个细丝，从而使得能够减少表面特性，同时减少长丝头的开始和停止，这使得更少的伪像或增加打印速度。

    Platform to Create and Disseminate Virtual User Experiences
    35.
    发明申请
    Platform to Create and Disseminate Virtual User Experiences 审中-公开

    公开(公告)号：US20180059898A1

    公开(公告)日：2018-03-01

    申请号：US15246137

    申请日：2016-08-24

    Applicant: Adobe Systems Incorporated

    Inventor： Gavin Stuart Peter Miller ,  Nadia Rehman-Murphy ,  Cory Lynn Edwards ,  Peter Raymond Fransen

    IPC: G06F3/0481 ,  H04L29/06 ,  G06Q30/02

    CPC classification number: G06Q30/0275 ,  G06F3/011 ,  H04L67/12 ,  H04L67/38

    Abstract: Techniques and systems are described to implement a platform to create and disseminate virtual user experiences. In one example, a service provider exposes a platform usable for creation of virtual user experiences. In another example, a service provider exposes functionality to enable specification of physical environment conditions to be met in order to cause dissemination of respective virtual user experiences maintained by the service provider. In one instance, triggers are detected by a computing device of a user that are indicative of a likelihood to cause output of a virtual user experience. Once triggered, the computing device communicates data describing physical environment conditions to the service provider. The service provider then matches these conditions to specified physical environment conditions that are to be used to control dissemination of the virtual user experience.

    Convolutional Neural Network Joint Training
    36.
    发明申请
    Convolutional Neural Network Joint Training 审中-公开

    公开(公告)号：US20170357892A1

    公开(公告)日：2017-12-14

    申请号：US15177121

    申请日：2016-06-08

    Applicant: Adobe Systems Incorporated

    Inventor： Zhe Lin ,  Yufei Wang ,  Radomir Mech ,  Xiaohui Shen ,  Gavin Stuart Peter Miller

    IPC: G06N3/08 ,  G06N3/04

    Abstract: In embodiments of convolutional neural network joint training, a computing system memory maintains different data batches of multiple digital image items, where the digital image items of the different data batches have some common features. A convolutional neural network (CNN) receives input of the digital image items of the different data batches, and classifier layers of the CNN are trained to recognize the common features in the digital image items of the different data batches. The recognized common features are input to fully-connected layers of the CNN that distinguish between the recognized common features of the digital image items of the different data batches. A scoring difference is determined between item pairs of the digital image items in a particular one of the different data batches. A piecewise ranking loss algorithm maintains the scoring difference between the item pairs, and the scoring difference is used to train CNN regression functions.

    Using genetic algorithm to design 2-dimensional procedural patterns
    38.
    发明授权
    Using genetic algorithm to design 2-dimensional procedural patterns 有权
    使用遗传算法设计二维程序模式

    公开(公告)号：US09105135B2

    公开(公告)日：2015-08-11

    申请号：US13713293

    申请日：2012-12-13

    Applicant: Adobe Systems Incorporated

    Inventor： Fan Bao ,  Radomir Mech ,  Gavin Stuart Peter Miller

    IPC: G09G5/02 ,  G09G5/24 ,  G09G5/37 ,  G06T11/60 ,  G06F3/0481 ,  G06F3/0484

    CPC classification number: G06T11/60 ,  G06F3/0481 ,  G06F3/0484 ,  G06T2201/00 ,  G09G5/24 ,  G09G5/37

    Abstract: Selection of an area of an image can be received. Selection of a subset of a plurality of predefined patterns may be received. A plurality of patterns can be generated. At least one generated pattern in the plurality of patterns may be based at least in part on one or more predefined patterns in the subset. Selection of another subset of patterns may be received. At least one pattern in the other subset of patterns may be selected from the plurality of predefined patterns and/or the generated patterns. Another plurality of patterns can be generated. At least one generated pattern in this plurality of patterns may be based at least on part on one or more patterns in the other subset. Selection of a generated pattern from the generated other plurality of patterns may be received. The selected area of the image may be populated with the selected generated pattern.

    Abstract translation: 可以接收图像的区域的选择。 可以接收多个预定模式的子集的选择。 可以生成多个图案。 多个图案中的至少一个生成的图案可以至少部分地基于该子集中的一个或多个预定模式。 可以接收另一模式子集的选择。 可以从多个预定义模式和/或生成的模式中选择模式的另一子集中的至少一个模式。 可以生成另外多个图案。 该多个图案中的至少一个生成的图案可以至少部分地基于另一子集中的一个或多个图案。 可以接收从所生成的其他多个图案中选择生成的图案。 图像的所选区域可以用所选择的生成图案填充。

    3D Printing with Small Geometric Offsets to Affect Surface Characteristics
    39.
    发明申请
    3D Printing with Small Geometric Offsets to Affect Surface Characteristics 有权
    使用小几何偏移进行3D打印以影响表面特性

    公开(公告)号：US20150197060A1

    公开(公告)日：2015-07-16

    申请号：US14155202

    申请日：2014-01-14

    Applicant: Adobe Systems Incorporated

    Inventor： Nathan A. Carr ,  Tim Christopher Reiner ,  Gavin Stuart Peter Miller ,  Radomir Mech

    IPC: B29C67/00

    CPC classification number: B29C67/0055 ,  B29C64/106 ,  B29C64/112 ,  B29C64/20 ,  B29C64/386 ,  B29C67/0059 ,  B29C67/0085 ,  B29C67/0088 ,  B29K2105/0058 ,  B33Y10/00 ,  B33Y30/00 ,  B33Y50/02

    Abstract: This document describes techniques and apparatuses for 3D printing with small geometric offsets to affect surface characteristics. These techniques are capable of enabling fused-deposition printers to create 3D objects having desired surface characteristics, such as particular colors, images and image resolutions, textures, and luminosities. In some cases, the techniques do so using a single filament head with a single filament material. In some other cases, the techniques do so using multiple heads each with different filaments, though the techniques can forgo many switches between these heads. Each printing layer may use even a single filament from one head, thereby enabling surface characteristics while reducing starts and stops for filaments heads, which enables fewer artifacts or increases printing speed.

    Abstract translation: 本文档描述了具有小几何偏移的3D打印以影响表面特性的技术和装置。 这些技术能够使熔融沉积打印机能够创建具有期望的表面特性（例如特定颜色，图像和图像分辨率，纹理和光度）的3D物体。 在某些情况下，这些技术使用具有单丝材料的单丝头。 在其他一些情况下，这些技术使用多个具有不同长丝的头，但这些技术可以在这些头之间放弃许多开关。 每个印刷层可以使用来自一个头部的单个细丝，从而使得能够减少表面特性，同时减少长丝头的开始和停止，这使得更少的伪像或增加打印速度。

    Image matting and alpha value techniques
    40.
    发明授权
    Image matting and alpha value techniques 有权
    图像消光和alpha值技术

    公开(公告)号：US09064318B2

    公开(公告)日：2015-06-23

    申请号：US13660159

    申请日：2012-10-25

    Applicant: Adobe Systems Incorporated

    Inventor： Brian L. Price ,  Scott D. Cohen ,  Jacqueline L. Feild ,  Gavin Stuart Peter Miller

    IPC: G06K9/34 ,  G06T7/00

    CPC classification number: G06T7/0081 ,  G06T7/11 ,  G06T7/194 ,  G06T2207/10024

    Abstract: Image matting and alpha value techniques are described. In one or more implementations, techniques are described in which matting operations are applied to image data that is in a raw or substantially raw image format. This may be used to decompose image data into foreground and background images as well as to generate an alpha value that describes a linear combination of the foreground and background images for a respective pixel. Further, implementations are also described in which a plurality of alpha values is generated for each of a plurality of pixels. These alpha values may be utilized to support a variety of different functionality, such as matting operations and so on.

    Abstract translation: 描述了图像消光和α值技术。 在一个或多个实现中，描述了将消光操作应用于处于原始或基本上原始图像格式的图像数据的技术。 这可以用于将图像数据分解成前景和背景图像，以及生成描述相应像素的前景和背景图像的线性组合的α值。 此外，还描述了为多个像素中的每一个生成多个α值的实现。 这些α值可用于支持各种不同的功能，例如消光操作等等。

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