3D Printing with Small Geometric Offsets to Affect Surface Characteristics
    2.
    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

    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。

    Cropping boundary simplicity
    3.
    发明授权
    Cropping boundary simplicity 有权
    裁剪边界简洁

    公开(公告)号:US09406110B2

    公开(公告)日:2016-08-02

    申请号:US14968075

    申请日:2015-12-14

    Abstract: Cropping boundary simplicity techniques are described. In one or more implementations, multiple candidate cropping s of a scene are generated. For each of the candidate croppings, a score is calculated that is indicative of a boundary simplicity for the candidate cropping. To calculate the boundary simplicity, complexity of the scene along a boundary of a respective candidate cropping is measured. The complexity is measured, for instance, using an average gradient, an image edge map, or entropy along the boundary. Values indicative of the complexity may be derived from the measuring. The candidate croppings may then be ranked according to those values. Based on the scores calculated to indicate the boundary simplicity, one or more of the candidate croppings may be chosen e.g., to present the chosen croppings to a user for selection.

    Abstract translation: 描述边界简单技术。 在一个或多个实现中,生成场景的多个候选裁剪。 对于每个候选作物,计算表示候选种植的边界简单性的分数。 为了计算边界简单性,测量沿着相应候选剪切的边界的场景的复杂性。 测量复杂度,例如,使用沿着边界的平均梯度,图像边缘图或熵。 表示复杂性的值可以从测量得出。 然后可以根据这些值对候选作物进行排序。 基于计算的用于指示边界简单性的分数,可以选择一个或多个候选剪切,以将所选择的剪切呈现给用户进行选择。

    Image Cropping Suggestion Using Multiple Saliency Maps
    4.
    发明申请
    Image Cropping Suggestion Using Multiple Saliency Maps 有权
    使用多重显着图的图像裁剪建议

    公开(公告)号:US20160104055A1

    公开(公告)日:2016-04-14

    申请号:US14511001

    申请日:2014-10-09

    CPC classification number: G06T3/40 G06K9/4671 G06T3/0012 G06T11/60 G06T2210/22

    Abstract: Image cropping suggestion using multiple saliency maps is described. In one or more implementations, component scores, indicative of visual characteristics established for visually-pleasing croppings, are computed for candidate image croppings using multiple different saliency maps. The visual characteristics on which a candidate image cropping is scored may be indicative of its composition quality, an extent to which it preserves content appearing in the scene, and a simplicity of its boundary. Based on the component scores, the croppings may be ranked with regard to each of the visual characteristics. The rankings may be used to cluster the candidate croppings into groups of similar croppings, such that croppings in a group are different by less than a threshold amount and croppings in different groups are different by at least the threshold amount. Based on the clustering, croppings may then be chosen, e.g., to present them to a user for selection.

    Abstract translation: 描述了使用多个显着图的图像裁剪建议。 在一个或多个实现中,针对使用多个不同显着图的候选图像裁剪计算指示为视觉上令人满意的裁剪而建立的视觉特征的分数分数。 评估候选图像裁剪的视觉特征可以指示其组成质量,其保存出现在场景中的内容的程度以及其边界的简单性。 基于分量分数,可以根据每个视觉特征来排列裁剪。 排名可以用于将候选作物聚类成类似的作物的组,使得组中的作物差异小于阈值量,并且不同组中的剪切至少达到阈值量。 基于聚类,可以选择裁剪,例如将其呈现给用户进行选择。

    Category histogram image representation
    5.
    发明授权
    Category histogram image representation 有权
    类别直方图图像表示

    公开(公告)号:US09213919B2

    公开(公告)日:2015-12-15

    申请号:US14180305

    申请日:2014-02-13

    CPC classification number: G06K9/6212 G06K9/00664 G06K9/4642 G06K2009/6213

    Abstract: In techniques for category histogram image representation, image segments of an input image are generated and bounding boxes are selected that each represent a region of the input image, where each of the bounding boxes include image segments of the input image. A saliency map of the input image can also be generated. A bounding box is applied as a query on an images database to determine database image regions that match the region of the input image represented by the bounding box. The query can be augmented based on saliency detection of the input image region that is represented by the bounding box, and a query result is a ranked list of the database image regions. A category histogram for the region of the input image is then generated based on category labels of each of the database image regions that match the input image region.

    Abstract translation: 在类别直方图图像表示的技术中,生成输入图像的图像片段,并且选择每个表示输入图像的区域的边界框,其中每个边界框包括输入图像的图像片段。 也可以生成输入图像的显着图。 将边框应用于图像数据库上的查询,以确定与由边界框表示的输入图像的区域匹配的数据库图像区域。 可以基于由边界框表示的输入图像区域的显着性检测来增加查询,并且查询结果是数据库图像区域的排序列表。 然后基于与输入图像区域匹配的每个数据库图像区域的类别标签来生成输入图像的区域的类别直方图。

    Offset 3D printing
    6.
    发明授权
    Offset 3D printing 有权
    偏移3D打印

    公开(公告)号:US09199414B2

    公开(公告)日:2015-12-01

    申请号:US13868869

    申请日:2013-04-23

    Inventor: Radomir Mech

    Abstract: This document describes techniques and apparatuses for offset three-dimensional (3D) printing. These techniques are capable of creating smoother surfaces and more-accurate structures than many current techniques. In some cases, the techniques provide a first stage of filaments separated by offsets and, at a second stage, provide filaments over these offsets. In so doing, filaments of the second stage partially fill-in these offsets, which can remove steps, increase accuracy, or reduce undesired production artifacts.

    Abstract translation: 本文档描述了用于偏移三维(3D)打印的技术和装置。 这些技术能够创建比目前许多技术更平滑的表面和更准确的结构。 在一些情况下,这些技术提供了通过偏移分离的细丝的第一阶段,并且在第二阶段,在这些偏移上提供细丝。 在这样做时,第二阶段的细丝部分地填充这些偏移,其可以去除步骤,增加精度或减少不期望的生产伪像。

    Cropping Boundary Simplicity
    7.
    发明申请
    Cropping Boundary Simplicity 有权
    作物边界简单

    公开(公告)号:US20150213612A1

    公开(公告)日:2015-07-30

    申请号:US14169025

    申请日:2014-01-30

    Abstract: Cropping boundary simplicity techniques are described. In one or more implementations, multiple candidate croppings of a scene are generated. For each of the candidate croppings, a score is calculated that is indicative of a boundary simplicity for the candidate cropping. To calculate the boundary simplicity, complexity of the scene along a boundary of a respective candidate cropping is measured. The complexity is measured, for instance, using an average gradient, an image edge map, or entropy along the boundary. Values indicative of the complexity may be derived from the measuring. The candidate croppings may then be ranked according to those values. Based on the scores calculated to indicate the boundary simplicity, one or more of the candidate croppings may be chosen e.g., to present the chosen croppings to a user for selection.

    Abstract translation: 描述边界简单技术。 在一个或多个实现中,生成场景的多个候选裁剪。 对于每个候选作物,计算表示候选种植的边界简单性的分数。 为了计算边界简单性,测量沿着相应候选剪切的边界的场景的复杂性。 测量复杂度,例如,使用沿着边界的平均梯度,图像边缘图或熵。 表示复杂性的值可以从测量得出。 然后可以根据这些值对候选作物进行排序。 基于计算的用于指示边界简单性的分数,可以选择一个或多个候选剪切,以将所选择的剪切呈现给用户进行选择。

    IMAGE FOREGROUND DETECTION
    8.
    发明申请
    IMAGE FOREGROUND DETECTION 有权
    图像前置检测

    公开(公告)号:US20150117784A1

    公开(公告)日:2015-04-30

    申请号:US14062680

    申请日:2013-10-24

    Abstract: In techniques for image foreground detection, a foreground detection module is implemented to generate varying levels of saliency thresholds from a saliency map of an image that includes foreground regions. The saliency thresholds can be generated based on an adaptive thresholding technique applied to the saliency map of the image and/or based on multi-level segmentation of the saliency map. The foreground detection module applies one or more constraints that distinguish the foreground regions in the image, and detects the foreground regions of the image based on the saliency thresholds and the constraints. Additionally, different ones of the constraints can be applied to detect different ones of the foreground regions, as well as to detect multi-level foreground regions based on the saliency thresholds and the constraints.

    Abstract translation: 在用于图像前景检测的技术中,实施前景检测模块以从包括前景区域的图像的显着图生成不同级别的显着阈值。 可以基于应用于图像的显着图的自适应阈值技术和/或基于显着图的多级分割来生成显着阈值。 前景检测模块应用区分图像中的前景区域的一个或多个约束,并且基于显着性阈值和约束来检测图像的前景区域。 此外,可以应用不同的约束来检测不同的前景区域,以及基于显着性阈值和约束来检测多级前景区域。

    Methods and Apparatus for 3D Camera Positioning Using a 2D Vanishing Point Grid
    9.
    发明申请
    Methods and Apparatus for 3D Camera Positioning Using a 2D Vanishing Point Grid 有权
    使用2D消失点网格的3D摄像机定位的方法和装置

    公开(公告)号:US20130243306A1

    公开(公告)日:2013-09-19

    申请号:US13689319

    申请日:2012-11-29

    CPC classification number: G06T7/0042 G06T15/20 G06T19/006

    Abstract: Methods and apparatus for three-dimensional (3D) camera positioning using a two-dimensional (2D) vanishing point grid. A vanishing point grid in a scene and initial camera parameters may be obtained. A new 3D camera may be calculated according to the vanishing point grid that places the grid as a ground plane in a scene. A 3D object may then be placed on the ground plane in the scene as defined by the 3D camera. The 3D object may be placed at the center of the vanishing point grid. Once placed, the 3D object can be moved to other locations on the ground plane or otherwise manipulated. The 3D object may be added as a layer in the image.

    Abstract translation: 使用二维(2D)消失点网格的三维(3D)摄像机定位的方法和装置。 可以获得场景中的消失点网格和初始摄像机参数。 可以根据将网格作为地平面放置在场景中的消失点网格来计算新的3D照相机。 然后可以将3D物体放置在由3D照相机定义的场景中的地平面上。 3D对象可以放置在消失点网格的中心。 一旦放置,3D物体可以移动到地平面上的其他位置或以其他方式操纵。 3D对象可以作为图像中的图层添加。

    Method for Using Deep Learning for Facilitating Real-Time View Switching and Video Editing on Computing Devices

    公开(公告)号:US20190110002A1

    公开(公告)日:2019-04-11

    申请号:US15730632

    申请日:2017-10-11

    Abstract: Various embodiments describe view switching of video on a computing device. In an example, a video processing application executed on the computing device receives a stream of video data. The video processing application renders a major view on a display of the computing device. The major view presents a video from the stream of video data. The video processing application inputs the stream of video data to a deep learning system and receives back information that identifies a cropped video from the video based on a composition score of the cropped video, while the video is presented in the major view. The composition score is generated by the deep learning system. The video processing application renders a sub-view on a display of the device, the sub-view presenting the cropped video. The video processing application renders the cropped video in the major view based on a user interaction with the sub-view.

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